Obstacle

About: Obstacle is a research topic. Over the lifetime, 9517 publications have been published within this topic receiving 94760 citations. The topic is also known as: impediment & barrier.

Obstacle avoidance control apparatus

Abstract: An obstacle avoidance control apparatus is provided with an obstacle detecting section, a first obstacle proximity distance prediction section, a second obstacle avoidance direction determining section, a target vehicle body slip angle (β) setting section and a vehicle behavior controlling section. The obstacle detecting section detects preceding obstacles. The first obstacle proximity distance prediction section predicts a closest proximity distance between the host vehicle (1) and a first (closest) obstacle (4). The second obstacle avoidance direction determining section determines a second obstacle avoidance direction to avoid the second obstacle (5). The target vehicle body slip angle setting section sets a target vehicle body slip angle (β), such that the host vehicle (1) faces further inward of the turning direction as the proximity distance increases. The vehicle behavior controlling section controls the host vehicle so that an actual vehicle body slip angle (β) coincides with the target vehicle body slip angle at the time of closest proximity.

Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning

Abstract: In this article, we explore the feasibility of applying proximal policy optimization, a state-of-the-art deep reinforcement learning algorithm for continuous control tasks, on the dual-objective problem of controlling an underactuated autonomous surface vehicle to follow an a priori known path while avoiding collisions with non-moving obstacles along the way. The AI agent, which is equipped with multiple rangefinder sensors for obstacle detection, is trained and evaluated in a challenging, stochastically generated simulation environment based on the OpenAI gym Python toolkit. Notably, the agent is provided with real-time insight into its own reward function, allowing it to dynamically adapt its guidance strategy. Depending on its strategy, which ranges from radical path-adherence to radical obstacle avoidance, the trained agent achieves an episodic success rate close to 100%.

Colliding obstacle detection apparatus for vehicle

Abstract: The present colliding obstacle detection apparatus comprises a pedestrian bumper, which is supported below a front bumper of the vehicle by a body of the vehicle, at least one collision detector, which is located on the pedestrian bumper, and a control circuit, which determines whether the collision has actually occurred based on a detection signal outputted by the at least one collision detector. The front end of the pedestrian bumper vertically aligns with or extending ahead of that of the front bumper. The at least one collision detector detects one of a collision of the pedestrian bumper with an obstacle, and a presence of the obstacle in a close proximity to the pedestrian bumper. When the control circuit determines that the collision has actually occurred, the circuit activates a colliding obstacle protector for protecting the obstacle, especially a pedestrian.