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Theses

Estimation du Temps à Collision en Vision Catadioptrique

Abstract : Time to contact or time to collision (TTC) is of utmost importance information for animals as well as for mobile robots because it enables them to avoid obstacles; it is a convenient way to analyze the surrounding environment. The problem of TTC estimation is largely discussed in perspective images. Although a lot of works have shown the interest of omnidirectional camera for robotic applications such as localization, motion, monitoring, few works use omnidirectional images to compute the TTC. In this thesis, we show that TTC can be also estimated on catadioptric images. We present two approaches for TTC estimation using directly or indirectly the optical flow based on de-rotation strategy. The first, called ''gradient based TTC'', is simple, fast and it does not need an explicit estimation of the optical flow. Nevertheless, this method cannot provide a TTC on each pixel, valid only for para-catadioptric sensors and requires an initial segmentation of the obstacle.The second method, called ''TTC map estimation based on optical flow'', estimates TTC on each point on the image and provides the depth map of the environment for any obstacle in any direction and is valid for all central catadioptric sensors. Some results and comparisons in synthetic and real images will be given.
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Contributor : Fatima Benamar <>
Submitted on : Tuesday, March 24, 2015 - 4:00:31 AM
Last modification on : Wednesday, March 25, 2015 - 1:01:25 AM
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Fatima Zahra Benamar. Estimation du Temps à Collision en Vision Catadioptrique. Informatique [cs]. L’Université de Picardie Jules Verne, Amiens, France; L'université Mohammed V de rabat, Maroc, 2014. Français. ⟨tel-01133661v2⟩

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