While road obstacle detection techniques have become increasingly effective, they typically ignore the fact that, in practice, apparent size of obstacles decreases as their distance to vehicle increases. In this paper, we account for by computing a scale map encoding hypothetical object at every image location. We then leverage perspective (i) generate training data injecting onto synthetic obj...

In this paper, we present an approach to obstacle avoidance for a group of unmanned vehicles moving in formation. The goal of the group is to move through a partially unknown environment with obstacles and reach a destination while maintaining the formation. We address this problem for a class of dynamic unicycle robots. Using Inputto-State Stability we combine a general class of formationkeepi...

We determine the asymptotic behaviour of (bilateral) obstacle problems for fractional energies in rather general aperiodic settings via Γ-convergence arguments. As further developments we consider obstacles with random sizes and shapes located on points of standard lattices, and the case of random homothetics obstacles centered on random Delone sets of points. Obstacle problems for non-local en...

We present a collision avoidance system for powered wheelchairs used by people with cognitive disabilities. Such systems increase mobility and feelings of independence, thereby enabling reversal of some symptoms of depression and cognitive impairment and improvement of quality of life. We use a novel 3D sensor developed by Canesta Inc. that allows the wheelchair to “see” obstacles, avoid collis...