, On-the-road experiments run in uncontrolled environments (city of Paris, Los Angeles and a small Italian village) have shown that ParkMaster's accuracy in estimating parking availability reaches 90%, which demonstrates that vision-based sensing of the environment at the edge is now possible with the current technology

, DOT proposes mandatory V2V

, Google maps now makes it easier to find parking

A. Afanasyev, I. Moiseenko, and L. Zhang, ndnSIM: NDN simulator for NS-3, 2012.

A. Afanasyev, J. Shi, B. Zhang, L. Zhang, I. Moiseenko et al., Nfd developer's guide, 2014.

A. Afanasyev, C. Yi, L. Wang, B. Zhang, and L. Zhang, SNAMP: Secure namespace mapping to scale NDN forwarding, pp.281-286, 2015.

B. Ahlgren, M. D'ambrosio, M. Marchisio, I. Marsh, C. Dannewitz et al., , vol.66, 2008.

S. H. Ahmed, S. H. Bouk, and D. Kim, Rufs: Robust forwarder selection in vehicular content-centric networks, IEEE Communications Letters, vol.19, issue.9, pp.1616-1619, 2015.

V. Albino, U. Berardi, and R. M. Dangelico, Smart cities: Definitions, dimensions, performance, and initiatives, Journal of Urban Technology, vol.22, issue.1, pp.3-21, 2015.

M. Ali, Green Cloud on the Horizon, pp.451-459, 2009.

H. Aly, A. Basalamah, and M. Youssef, Lanequest: An accurate and energy-efficient lane detection system, Pervasive Computing and Communications (PerCom), 2015 IEEE International Conference on, pp.163-171, 2015.

H. Aly, A. Basalamah, and M. Youssef, Robust and ubiquitous smartphone-based lane detection, Pervasive and Mobile Computing, vol.26, pp.35-56, 2016.

M. Amadeo, C. Campolo, and A. Molinaro, Content-centric networking: is that a solution for upcoming vehicular networks, Proceedings of the ninth ACM international workshop on Vehicular inter-networking, systems, and applications, pp.99-102, 2012.

M. Amadeo, C. Campolo, and A. Molinaro, Crown: Content-centric networking in vehicular ad hoc networks, IEEE Communications Letters, vol.16, issue.9, pp.1380-1383, 2012.

M. Amadeo, C. Campolo, and A. Molinaro, Design and analysis of a transport-level solution for content-centric vanets, Communications Workshops (ICC), 2013.

, IEEE International Conference on, pp.532-537, 2013.

M. Amadeo, C. Campolo, and A. Molinaro, Enhancing content-centric networking for vehicular environments, Computer Networks, vol.57, issue.16, pp.3222-3234, 2013.

G. Arnould, D. Khadraoui, and Z. Habbas, A self-organizing content centric network model for hybrid vehicular ad-hoc networks, Proceedings of the first ACM international symposium on Design and analysis of intelligent vehicular networks and applications, pp.15-22, 2011.

J. Augé, G. Carofiglio, G. Grassi, L. Muscariello, G. Pau et al., MAP-Me: Managing Anchor-less Producer Mobility in Content-Centric Networks, 2016.

S. Avidan, Ensemble tracking, IEEE TPAMI, vol.29, issue.2, pp.261-271, 2007.

A. Bachir and A. Benslimane, A multicast protocol in ad hoc networks inter-vehicle geocast, Vehicular Technology Conference, 2003. VTC 2003-Spring. The 57th IEEE Semiannual, vol.4, pp.2456-2460, 2003.

P. Bahl, R. Y. Han, L. E. Li, and M. Satyanarayanan, Advancing the state of mobile cloud computing, Proceedings of the third ACM workshop on Mobile cloud computing and services, pp.21-28, 2012.

F. Bai and B. Krishnamachari, Exploiting the wisdom of the crowd: localized, distributed information-centric vanets, IEEE Communications Magazine, vol.48, issue.5, 2010.

T. Bak?c?, E. Almirall, and J. Wareham, A smart city initiative: the case of barcelona, Journal of the Knowledge Economy, vol.4, issue.2, pp.135-148, 2013.

M. Betke, E. Haritaoglu, and L. S. Davis, Multiple vehicle detection and tracking in hard real-time, Proc. of IEEE Intelligent Vehicles Symposium, pp.351-356, 1996.

C. Bian, T. Zhao, X. Li, and W. Yan, Boosting named data networking for data dissemination in urban vanet scenarios, Vehicular Communications, vol.2, issue.4, pp.195-207, 2015.

C. Bian, T. Zhao, X. Li, and W. Yan, Boosting named data networking for efficient packet forwarding in urban vanet scenarios. Local and Metropolitan Area Networks (LANMAN), IEEE International Workshop on, pp.1-6, 2015.

J. Blum, A. Eskandarian, and L. Hoffman, Mobility management in ivc networks, Intelligent Vehicles Symposium, pp.150-155, 2003.

C. Bo, X. Li, T. Jung, X. Mao, Y. Tao et al., Smartloc: Push the limit of the inertial sensor based metropolitan localization using smartphone, Proceedings of the 19th annual international conference on Mobile computing & networking, pp.195-198, 2013.

F. Bonomi, R. Milito, J. Zhu, and S. Addepalli, Fog computing and its role in the internet of things, Proceedings of the first edition of the MCC workshop on Mobile cloud computing, pp.13-16, 2012.

J. Bouguet, MATLAB calibration tool

M. D. Breitenstein, F. Reichlin, B. Leibe, E. Koller-meier, and L. Van-gool, Robust tracking-by-detection using a detector confidence particle filter, IEEE Conf. on Computer Vision, pp.1515-1522, 2009.

L. Briesemeister, L. Schafers, and G. Hommel, Disseminating messages among highly mobile hosts based on inter-vehicle communication, Intelligent Vehicles Symposium, pp.522-527, 2000.
DOI : 10.1109/ivs.2000.898398

URL : http://path.berkeley.edu/dsrc/./reading/b0.pdf

A. T. Campbell, J. Gomez, S. Kim, A. G. Valkó, and C. Wan, Design, implementation, and evaluation of cellular ip, IEEE personal communications, vol.7, issue.4, pp.42-49, 2000.
DOI : 10.1109/98.863995

URL : http://comet.columbia.edu/~campbell/andrew/publications/papers/pcs2000.pdf

J. Canny, A computational approach to edge detection, IEEE TPAMI, issue.6, pp.679-698, 1986.

R. Carisi, E. Giordano, G. Pau, and M. Gerla, Enhancing in vehicle digital maps via gps crowdsourcing. WONS, pp.27-34, 2011.
DOI : 10.1109/wons.2011.5720196

G. Carofiglio, L. Muscariello, N. Papalini, X. Rozhnova, and . Zeng, Leveraging icn in-network control for loss detection and recovery in wireless mobile networks
DOI : 10.1145/2984356.2984361

URL : https://hal.archives-ouvertes.fr/hal-01700797

A. Sigcomm-icn, , 2016.

D. Chen, K. Cho, S. Han, Z. Jin, and K. G. Shin, Invisible sensing of vehicle steering with smartphones, Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services, pp.1-13, 2015.

P. Cheng, K. C. Lee, M. Gerla, and J. Härri, Geodtn+ nav: geographic dtn routing with navigator prediction for urban vehicular environments, vol.15, pp.61-82, 2010.

D. Comaniciu and P. Meer, Mean shift: A robust approach toward feature space analysis, IEEE TPAMI, vol.24, issue.5, pp.603-619, 2002.

N. Dalal and B. Triggs, Histograms of oriented gradients for human detection, IEEE conf. CVPR, vol.1, pp.886-893, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00548512

C. Dannewitz, D. Kutscher, B. Ohlman, S. Farrell, B. Ahlgren et al., Network of information (netinf)-an information-centric networking architecture, Computer Communications, vol.36, issue.7, pp.721-735, 2013.

M. Durresi, A. Durresi, and L. Barolli, Emergency broadcast protocol for inter-vehicle communications. Parallel and Distributed Systems, Proceedings. 11th International Conference on, vol.2, pp.402-406, 2005.

M. Ester, H. Kriegel, J. Sander, and X. Xu, A density-based algorithm for discovering clusters in large spatial databases with noise, KDD, 1996.

T. Fabian, An algorithm for parking lot occupation detection. CISIM, 165-170, 2008.

B. Feng, H. Zhou, and Q. Xu, Mobility support in named data networking: a survey, EURASIP Journal on Wireless Communications and Networking, issue.1, p.220, 2016.

, Strategic Opportunity Analysis of the Global Smart City Market, 2013.

N. Fotiou, P. Nikander, D. Trossen, and G. C. Polyzos, Developing information networking further: From psirp to pursuit, Broadnets, pp.1-13, 2010.

P. Francois, C. Filsfils, J. Evans, and O. Bonaventure, Achieving sub-second igp convergence in large ip networks, ACM SIGCOMM Computer Communication Review, vol.35, issue.3, pp.35-44, 2005.

R. Frank, E. Giordano, P. Cataldi, and M. Gerla, Trafroute: A different approach to routing in vehicular networks. Wireless and Mobile Computing, Networking and Communications (WiMob), IEEE 6th International Conference on, pp.521-528, 2010.

I. , , 2010.

B. J. Frey and D. Dueck, Clustering by passing messages between data points, Science, issue.5814, pp.972-976, 2007.
DOI : 10.1126/science.1136800

P. G. Lopez, A. Montresor, D. Epema, A. Datta, T. Higashino et al., Edge-centric computing: Vision and challenges, ACM SIGCOMM Computer Communication Review, vol.45, issue.5, pp.37-42, 2015.

E. Giordano, R. Frank, G. Pau, and M. Gerla, Corner: a realistic urban propagation model for vanet. Wireless On-demand Network Systems and Services (WONS), Seventh International Conference on, pp.57-60, 2010.

V. Giruka and M. Singhal, Hello protocols for ad-hoc networks: overhead and accuracy tradeoffs, Sixth IEEE International Symposium on a, pp.354-361, 2005.

, Google snap to road

G. Grassi, P. Bahl, K. Jamieson, and G. Pau, Parkmaster: An in-vehicle, edge-based video analytics service for detecting open parking spaces in urban environments, Symposium on Edge Computing (SEC, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01680639

G. Grassi, D. Pesavento, G. Pau, R. Vuyyuru, R. Wakikawa et al., Vanet via named data networking, Computer Communications Workshops (INFOCOM WKSHPS), pp.410-415, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01182997

G. Grassi, D. Pesavento, G. Pau, L. Zhang, and S. Fdida, Navigo: Interest forwarding by geolocations in vehicular named data networking. World of Wireless, Mobile and Multimedia Networks (WoWMoM), IEEE 16th International Symposium on a, pp.1-10, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01182994

G. Grassi, D. Pesavento, L. Wang, G. Pau, R. Vuyyuru et al., Acm hotmobile 2013 poster: vehicular inter-networking via named data, ACM SIGMOBILE Mobile Computing and Communications Review, vol.17, issue.3, pp.23-24, 2013.
DOI : 10.1145/2542095.2542108

D. Han, M. Lee, K. Cho, T. Kwon, and Y. Choi, Publisher mobility support in content centric networks, Proc. of ICOIN, 2014.

U. Handmann, T. Kalinke, C. Tzomakas, M. Werner, and W. Seelen, An image processing system for driver assistance, Image and Vision Computing, vol.18, issue.5, pp.367-376, 2000.

F. Hermans, E. Ngai, and P. Gunningberg, Global source mobility in the content-centric networking architecture, Proc. of ACM NoM Workshop, 2012.

A. Hoque, S. O. Amin, A. Alyyan, B. Zhang, L. Zhang et al., Nlsr: named-data link state routing protocol, Proceedings of the 3rd ACM SIGCOMM workshop on Information-centric networking, pp.15-20, 2013.

, Edition (R2007). IEEE 802.11 working group, IEEE P802.11p TM/D3.0 Draft Standard for Information TechnologyAmendment 7: Wireless Access in Vehicular Environments. ANSI/IEEE Std, 1999.

, Wireless LAN medium access control (MAC) and physical layer (PHY) specifications. ANSI/IEEE Std 802, vol.11, 1999.

, Edition (R2007), 2007.

S. Ioffe and D. Forsyth, Human tracking with mixtures of trees, Proc. IEEE Conf. ICCV, vol.1, pp.690-695, 2001.

R. Itu and R. Danescu, An efficient obstacle awareness application for android mobile devices, IEEE Conf. ICCP, pp.157-163, 2014.

I. , Propagation data and prediction methods for the planning of short-range outdoor radiocommunication systems and radio local area networks in the frequency range 300 mhz to 100 ghz, pp.1441-1450, 2017.

V. Jacobson, Networking named content, Proc. of CoNEXT, 2009.
DOI : 10.1145/1658939.1658941

M. Jerbi, S. Senouci, T. Rasheed, and Y. Ghamri-doudane, Towards efficient geographic routing in urban vehicular networks, IEEE Transactions on Vehicular Technology, vol.58, issue.9, pp.5048-5059, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00808046

R. Jiang, R. Klette, T. Vaudrey, and S. Wang, New lane model and distance transform for lane detection and tracking, CAIP, pp.1044-1052, 2009.

X. Jiang, J. Bi, and Y. Wang, What benefits does NDN have in supporting mobility, Proc. of IEEE ISCC, 2014.

D. B. Johnson and D. A. Maltz, Dynamic source routing in ad hoc wireless networks. Mobile computing, pp.153-181, 1996.

B. Karp and H. Kung, Gpsr: Greedy perimeter stateless routing for wireless networks, Proceedings of the 6th annual international conference on Mobile computing and networking, pp.243-254, 2000.

D. Kim, J. Kim, Y. Kim, H. Yoon, and I. Yeom, Mobility support in content centric networks, Proc. of ACM ICN, 2012.

D. Kim, J. Kim, Y. Kim, H. Yoon, and I. Yeom, End-to-end mobility support in content centric networks, International Journal of Communication Systems, vol.28, issue.6, pp.1151-1167, 2015.

Y. Ko and N. H. Vaidya, Location-aided routing (lar) in mobile ad hoc networks, Wireless networks, vol.6, issue.4, pp.307-321, 2000.

T. Koponen, M. Chawla, B. Chun, A. Ermolinskiy, K. H. Kim et al., A data-oriented (and beyond) network architecture, ACM SIGCOMM Computer Communication Review, vol.37, pp.181-192, 2007.

G. Korkmaz, E. Ekici, F. Özgüner, and Ü. Özgüner, Urban multi-hop broadcast protocol for inter-vehicle communication systems, Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks, pp.76-85, 2004.

E. Koukoumidis, L. Peh, and M. R. Martonosi, Signalguru: leveraging mobile phones for collaborative traffic signal schedule advisory, Proceedings of the 9th international conference on Mobile systems, applications, and services, pp.127-140

D. Krajzewicz, J. Erdmann, M. Behrisch, and L. Bieker, Recent development and applications of SUMO-Simulation of Urban MObility, International Journal On Advances in Systems and Measurements, vol.5, issue.3&4, pp.128-138, 2012.

G. Kreitz and F. Niemela, Spotify-large scale, low latency, p2p music-on-demand streaming. Peer-to-Peer Computing (P2P), IEEE Tenth International Conference on, pp.1-10, 2010.

X. Lan and D. P. Huttenlocher, Beyond trees: Common-factor models for 2d human pose recovery, IEEE Conf. ICCV, vol.1, pp.470-477, 2005.

N. D. Lawrence and A. J. Moore, Hierarchical gaussian process latent variable models, Proc. of conf. on Machine learning, pp.481-488, 2007.

J. Lee, S. Cho, and D. Kim, Device mobility management in content-centric networking, Communications Magazine, vol.50, issue.12, pp.28-34, 2012.

K. C. Lee, J. Härri, U. Lee, and M. Gerla, Enhanced perimeter routing for geographic forwarding protocols in urban vehicular scenarios, 2007.

, IEEE, pp.1-10, 2007.

K. C. Lee, M. Le, J. Harri, and M. Gerla, Louvre: Landmark overlays for urban vehicular routing environments. Vehicular Technology Conference, 2008. VTC 2008-Fall, IEEE, vol.68, pp.1-5, 2008.

K. C. Lee, U. Lee, and M. Gerla, To-go: Topology-assist geo-opportunistic routing in urban vehicular grids. Wireless On-Demand Network Systems and Services, Sixth International Conference on, pp.11-18, 2009.

V. Lehman, A. Gawande, B. Zhang, L. Zhang, R. Aldecoa et al., An experimental investigation of hyperbolic routing with a smart forwarding plane in ndn, IEEE/ACM 24th International Symposium on, pp.1-10, 2016.

B. Leibe, E. Seemann, and B. Schiele, Pedestrian detection in crowded scenes, IEEE Conf. CVPR, vol.1, pp.878-885, 2005.
DOI : 10.1109/cvpr.2005.272

URL : http://www.cis.pku.edu.cn/faculty/vision/zhangchao/Summer2007/10-42_01.PDF

D. Li and M. C. Chuah, SCOM: A Scalable Content Centric Network Architecture with Mobility Support, Proc. of IEEE MSN, 2013.
DOI : 10.1109/msn.2013.44

URL : http://www.cse.lehigh.edu/~chuah/publications/SCOM_1018.pdf

F. Li and Y. Wang, Routing in vehicular ad hoc networks: A survey. IEEE Vehicular technology magazine, vol.2, 2007.

R. Lienhart and J. Maydt, An extended set of haar-like features for rapid object detection, Proc. Conf. on Image Processing, vol.1, 2002.
DOI : 10.1109/icip.2002.1038171

T. D. Little and A. Agarwal, An information propagation scheme for vanets, Proc. IEEE Intelligent Transportation Systems, pp.155-160, 2005.
DOI : 10.1109/itsc.2005.1520039

URL : http://140.138.176.194/meeting/2009/v2v/07-09/An_information_propagation_scheme_for_VANETs.pdf

G. Liu, B. Lee, B. Seet, C. Foh, K. Wong et al., A routing strategy for metropolis vehicular communications. Information networking. networking technologies for broadband and mobile networks, pp.134-143, 2004.
DOI : 10.1007/978-3-540-25978-7_14

URL : http://www.cemnet.ntu.edu.sg/Permocom/papers/2004/astar-icoin.pdf

X. Liu, M. J. Nicolau, A. Costa, J. Macedo, and A. Santos, A geographic opportunistic forwarding strategy for vehicular named data networking. Intelligent Distributed Computing IX, pp.509-521, 2016.
DOI : 10.1007/978-3-319-25017-5_48

C. Lochert, H. Hartenstein, J. Tian, H. Fussler, D. Hermann et al., A routing strategy for vehicular ad hoc networks in city environments. Intelligent Vehicles Symposium, Proceedings. IEEE, pp.156-161, 2003.

C. Lochert, M. Mauve, H. Füßler, and H. Hartenstein, Geographic routing in city scenarios, ACM SIGMOBILE mobile computing and communications review, vol.9, issue.1, pp.69-72, 2005.
DOI : 10.1145/1055959.1055970

URL : http://www7old.informatik.uni-erlangen.de/~dulz/fkom/06/Material/12/NOW/Geographic Routing in City Scenarios.pdf

S. Ma, O. Wolfson, and B. Xu, Updetector: Sensing parking/unparking activities using smartphones, Proceedings of the 7th ACM SIGSPATIAL International Workshop on Computational Transportation Science, pp.76-85, 2014.

R. Mahmud and R. Buyya, Fog computing: A taxonomy, survey and future directions, 2016.
DOI : 10.1007/978-981-10-5861-5_5

URL : http://arxiv.org/pdf/1611.05539

C. Maihofer and R. Eberhardt, Geocast in vehicular environments: caching and transmission range control for improved efficiency. Intelligent Vehicles Symposium, pp.951-956, 2004.
DOI : 10.1109/ivs.2004.1336514

H. A. Mallot, H. H. Bülthoff, J. Little, and S. Bohrer, Inverse perspective mapping simplifies optical flow computation and obstacle detection, Biological cybernetics, vol.64, issue.3, pp.177-185, 1991.
DOI : 10.1007/bf00201978

J. G. Manweiler, P. Jain, and R. R. Choudhury, Satellites in our pockets: an object positioning system using smartphones. MobiSys, pp.211-224, 2012.

S. Mastorakis, A. Afanasyev, I. Moiseenko, and L. Zhang, ndnSIM 2: An updated NDN simulator for NS-3, 2016.

S. Mathur, T. Jin, N. Kasturirangan, J. Chandrasekaran, W. Xue et al., Parknet: drive-by sensing of road-side parking statistics. MobiSys, pp.123-136, 2010.

A. Mcgregor and D. Smithies, Rate adaptation for 802.11 wireless networks: Minstrel

. Ibm-news-releases, IBM and Nokia Siemens Networks announce world first mobile edge computing platform

V. Namboodiri, M. Agarwal, and L. Gao, A study on the feasibility of mobile gateways for vehicular ad-hoc networks, Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks, pp.66-75, 2004.

A. Nandugudi, T. Ki, C. Nuessle, and G. Challen, Pocketparker: Pocketsourcing parking lot availability, Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp.963-973, 2014.

S. Nawaz, C. Efstratiou, and C. Mascolo, Parksense: A smartphone based sensing system for on-street parking, Proceedings of the 19th annual international conference on Mobile computing & networking, pp.75-86, 2013.

V. D. Nguyen, T. T. Nguyen, D. D. Nguyen, and J. W. Jeon, Toward real-time vehicle detection using stereo vision and an evolutionary algorithm. VTC Spring, 1-5, 2012.
DOI : 10.1109/vetecs.2012.6239921

Y. Nishiyama, M. Ishino, Y. Koizumi, T. Hasegawa, K. Sugiyama et al., Proposal on routing-based mobility architecture for icn-based cellular networks, Computer Communications Workshops (INFOCOM WKSHPS), pp.467-472, 2016.
DOI : 10.1109/infcomw.2016.7562122

D. Noll, M. Werner, and W. Von-seelen, Real-time vehicle tracking and classification, Proc. of the Intelligent Vehicles Symposium, pp.101-106, 1995.
DOI : 10.1109/ivs.1995.528265

C. Ooi and N. Fisal, Implementation of geocast-enhanced aodv-bis routing protocol in manet, IEEE Region 10 Conference, pp.660-663, 2004.

, IEEE, 2004.

, OpenFog Architecture Overview. Open Fog Consortium, 2016.

C. Perera, Y. Qin, J. C. Estrella, S. Reiff-marganiec, and A. V. Vasilakos, Fog computing for sustainable smart cities: A survey, 2017.
DOI : 10.1145/3057266

URL : http://eprints.hud.ac.uk/id/eprint/31927/8/__nas01_librhome_librsh3_Desktop_acmsmall-sample.pdf

C. Perera, A. Zaslavsky, P. Christen, and D. Georgakopoulos, Sensing as a service model for smart cities supported by internet of things, Transactions on Emerging Telecommunications Technologies, vol.25, issue.1, pp.81-93, 2014.

, Periscope. Video Streaming

C. Perkins, E. Belding-royer, and S. Das, Ad hoc on-demand distance vector (aodv) routing, 2003.
DOI : 10.17487/rfc3561

URL : https://www.rfc-editor.org/rfc/pdfrfc/rfc3561.txt.pdf

R. Ravindran, S. Lo, X. Zhang, and G. Wang, Supporting seamless mobility in named data networking, Proc. of IEEE ICC, 2012.
DOI : 10.1109/icc.2012.6364701

F. Ren, J. Huang, M. Terauchi, R. Jiang, and R. Klette, Lane detection on the iphone, International Conference on Arts and Technology, pp.198-205, 2009.
DOI : 10.1007/978-3-642-11577-6_25

M. Rezaei, M. Terauchi, and R. Klette, Robust vehicle detection and distance estimation under challenging lighting conditions, Transactions on Intelligent Transportation Systems, 2015.
DOI : 10.1109/tits.2015.2421482

J. W. Roberts, Realizing quality of service guarantees in multiservice networks. Performance and Management of Complex Communication Networks, pp.277-293

. Springer, , 1998.

R. Roman, J. Lopez, and M. Mambo, Mobile edge computing, fog et al.: A survey and analysis of security threats and challenges, Future Generation Computer Systems, 2016.

A. Rowstron and G. Pau, Characteristics of a vehicular network, pp.9-0017, 2009.

R. A. Santos, A. Edwards, R. Edwards, and N. L. Seed, Performance evaluation of routing protocols in vehicular ad-hoc networks, International Journal of Ad Hoc and Ubiquitous Computing, vol.1, issue.1-2, pp.80-91, 2005.

M. Satyanarayanan, P. Bahl, R. Caceres, and N. Davies, The case for vm-based cloudlets in mobile computing, IEEE pervasive Computing, vol.8, issue.4, 2009.
DOI : 10.1109/mprv.2009.64

URL : http://www.research.microsoft.com/~bahl/Papers/Pdf/cloudlets09.pdf

C. Scientific and I. R. , Phenonet: Dis-tributed sensor network for phenomics supported by high resolution plant phenomics centre. CSIRO ICT Centre, and CSIRO Sensor and Sensor Networks TCP, 2011.

E. Seemann and B. Schiele, Cross-articulation learning for robust detection of pedestrians, Pattern Recognition, pp.242-252, 2006.
DOI : 10.1007/11861898_25

Y. Sekimoto, Y. Matsubayashi, H. Yamada, R. Imai, T. Usui et al., Lightweight lane positioning of vehicles using a smartphone gps by monitoring the distance from the center line. Intelligent Transportation Systems (ITSC), 15th International IEEE Conference on, pp.1561-1565, 2012.

I. Seskar, K. Nagaraja, S. Nelson, and D. Raychaudhuri, Mobilityfirst future internet architecture project, pp.1-3, 2011.
DOI : 10.1145/2089016.2089017

URL : http://mobilityfirst.winlab.rutgers.edu/documents/ACM_AINTEC2011_Seskar_paper_000.pdf

. Sfpark,

S. Shenker, Fundamental design issues for the future internet, IEEE Journal on, vol.13, issue.7, pp.1176-1188, 1995.

W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu, Edge computing: Vision and challenges, IEEE Internet of Things Journal, vol.3, issue.5, pp.637-646, 2016.
DOI : 10.1109/jiot.2016.2579198

D. C. Shoup, Cruising for parking, Transport Policy, vol.13, issue.6, pp.479-486, 2006.
DOI : 10.4324/9781351179782-12

L. Sigal and M. J. Black, Measure locally, reason globally: Occlusion-sensitive articulated pose estimation, IEEE Conf. CVPR, vol.2, 2006.
DOI : 10.1109/cvpr.2006.180

S. Soubam, D. Banerjee, V. Naik, and D. Chakraborty, Bluepark: tracking parking and un-parking events in indoor garages, Proceedings of the 17th International Conference on Distributed Computing and Networking, vol.33, 2016.

M. Sun, W. Feng, T. Lai, K. Yamada, H. Okada et al.,

, Gps-based message broadcasting for inter-vehicle communication. Parallel Processing, pp.279-286, 2000.

Z. Sun, G. Bebis, and R. Miller, On-road vehicle detection: A review, IEEE TPAMI, vol.28, issue.5, pp.694-711, 2006.

P. Talebifard and V. Leung, A content centric approach to dissemination of information in vehicular networks, Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications, pp.17-24, 2012.

, Yellow cab of san francisco

D. Tian, K. Shafiee, and V. C. Leung, Position-based directional vehicular routing, Global Telecommunications Conference, pp.1-6, 2009.
DOI : 10.1109/glocom.2009.5425513

, IEEE, 2009.

, Time Warner Cable. TWC WiFi coverage map

G. Toulminet, M. Bertozzi, S. Mousset, A. Bensrhair, and A. Broggi, Vehicle detection by means of stereo vision-based obstacles features extraction and monocular pattern analysis, IEEE Transactions on Image Processing, vol.15, issue.8, pp.2364-2375, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00478467

N. True, Vacant parking space detection in static images, 2007.

R. Y. Tsai, A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-shelf tv cameras and lenses, IEEE Journal of Robotics and Automation, vol.3, issue.4, pp.323-344, 1987.

S. Tuohy, D. O'cualain, E. Jones, and M. Glavin, Distance determination for an automobile environment using inverse perspective mapping in opencv, Proc. ISSC, 2010.

G. Tyson, A. Mauthe, S. Kaune, P. Grace, and T. Plagemann, Juno: An adaptive delivery-centric middleware, pp.587-591, 2012.

G. Tyson, N. Sastry, R. Cuevas, I. Rimac, and A. Mauthe, A survey of mobility in information-centric networks, Commun. ACM, vol.56, issue.12, pp.90-98, 2013.

G. Tyson, N. Sastry, I. Rimac, R. Cuevas, and A. Mauthe, A survey of mobility in information-centric networks: challenges and research directions, Proceedings of the 1st ACM workshop on Emerging Name-Oriented Mobile Networking Design-Architecture, pp.1-6, 2012.

R. Urtasun, D. J. Fleet, and P. Fua, 3d people tracking with gaussian process dynamical models, IEEE Conf. CVPR, vol.1, pp.238-245, 2006.

L. M. Vaquero and L. Rodero-merino, Finding your way in the fog: Towards a comprehensive definition of fog computing, ACM SIGCOMM Computer Communication Review, vol.44, issue.5, pp.27-32, 2014.

B. Varghese, N. Wang, S. Barbhuiya, P. Kilpatrick, and D. S. Nikolopoulos, Challenges and opportunities in edge computing, IEEE International Conference on, pp.20-26, 2016.

R. Viereckl, D. Ahlemann, and A. Koster, Connected car report 2016: Opportunities, risk, and turmoil on the road to autonomous vehicles, 2016.

P. Viola and M. Jones, Rapid object detection using a boosted cascade of simple features, Proc. of IEEE Conf. CVPR, vol.1, 2001.

C. Wah, Parking space vacancy monitoring. Projects in Vision and Learning, 2009.

J. Wang, R. Wakikawa, and L. Zhang, Dmnd: Collecting data from mobiles using named data, Vehicular Networking Conference (VNC), pp.49-56, 2010.

L. Wang, A. Afanasyev, R. Kuntz, R. Vuyyuru, R. Wakikawa et al., Rapid traffic information dissemination using named data, Proceedings of the 1st ACM workshop on Emerging Name-Oriented Mobile Networking Design-Architecture, Algorithms, and Applications, pp.7-12, 2012.

L. Wang, A. Hoque, C. Yi, A. Alyyan, and B. Zhang, Ospfn: An ospf based routing protocol for named data networking, 2012.

L. Wang, R. Wakikawa, R. Kuntz, R. Vuyyuru, and L. Zhang, Data naming in vehicle-to-vehicle communications, Computer Communications Workshops (INFOCOM WKSHPS), 2012 IEEE Conference on, pp.328-333, 2012.

L. Wang, O. Waltari, and J. Kangasharju, Mobiccn: Mobility support with greedy routing in content-centric networks, Proc. of IEEE GLOBECOM, 2013.

A. Wedel, U. Franke, J. Klappstein, T. Brox, and D. Cremers, Realtime depth estimation and obstacle detection from monocular video, Pattern Recognition, pp.475-484, 2006.

T. A. Williamson, A high-performance stereo vision system for obstacle detection, 1998.

B. Wu and R. Nevatia, Detection and tracking of multiple, partially occluded humans by bayesian combination of edgelet based part detectors, International Journal of Computer Vision, vol.75, issue.2, pp.247-266, 2007.

, World Urbanization Prospects, 2014.

G. Xylomenos, C. N. Ververidis, V. A. Siris, N. Fotiou, C. Tsilopoulos et al., A survey of information-centric networking research, IEEE Communications Surveys & Tutorials, vol.16, issue.2, pp.1024-1049, 2014.

C. Yi, A. Afanasyev, I. Moiseenko, L. Wang, B. Zhang et al., A Case for Stateful Forwarding Plane, Computer Communications: ICN Special Issue, vol.36, issue.7, pp.779-791, 2013.

R. Ying, L. Hongbin, G. Deyun, Z. Huachun, and Z. Hongke, Lbma: A novel locator based mobility support approach in named data networking, China Communications, vol.11, issue.4, pp.111-120, 2014.

C. You and N. D. Lane, Carsafe app: alerting drowsy and distracted drivers using dual cameras on smartphones, pp.13-26, 2013.

Y. Yu, A. Afanasyev, D. Clark, V. Jacobson, and L. Zhang, Schematizing trust in named data networking, Proceedings of the 2nd International Conference on Information-Centric Networking, pp.177-186, 2015.

Y. Yu, Y. Li, X. Ma, W. Shang, M. Sanadidi et al., Scalable opportunistic vanet content routing with encounter information, 21st IEEE International Conference on, pp.1-6, 2013.

Y. Yu, T. Punihaole, M. Gerla, and M. Sanadidi, Content routing in the vehicle cloud. Military Communications Conference, pp.1-6, 2012.

Y. Yu-ting, C. Tandiono, X. Li, Y. Lu, M. Sanadidi et al., Ican: Information-centric context-aware ad-hoc network. Computing, Networking and Communications (ICNC, 2014 International Conference on, pp.578-582, 2014.

J. K. Zao, T. T. Gan, C. K. You, S. J. Méndez, C. E. Chung et al., Augmented brain computer interaction based on fog computing and linked data, 2014 International Conference on, pp.374-377, 2014.

Y. Zhang, A. Afanasyev, J. Burke, and L. Zhang, A survey of mobility support in named data networking, Proc. of IEEE INFOCOM NOM, 2016.

Y. Zhang, H. Zhang, and L. Zhang, Kite: A mobility support scheme for ndn, Proc. of ACM ICN Poster, 2014.

Z. Zhang, A flexible new technique for camera calibration, IEEE TPAMI, vol.22, issue.11, pp.1330-1334, 2000.

Z. Zhu, R. Wakikawa, and L. Zhang, A survey of mobility support in the internet, RFC, vol.6301, 2011.