Collision avoidance

About: Collision avoidance is a research topic. Over the lifetime, 8014 publications have been published within this topic receiving 111414 citations.

Airport runway collision avoidance system and method

Abstract: Systems and methods for avoiding runway collisions. In a disclosed embodiment of the invention, a collision avoidance system includes a position-sensing device that is operable to determine a position of the aircraft, and a communications system operable to support two-way communications between the aircraft and other similarly configured aircraft. A collision avoidance processor is coupled to the position-sensing device and the communications system that is configured to generate a message if the aircraft moves into a restricted zone positioned proximate to the airport.

Cooperative adaptive cruise control: An artificial potential field approach

Abstract: In this paper, in addition to the main functionality of vehicle following, cooperative adaptive cruise control (CACC) is enabled with additional features of gap closing and collision avoidance. Due to its nonlinear nature, a control objective such as collision avoidance, cannot be addressed using a linear controller such as a PD controller. However, the artificial potential functions can be adopted to design controllers which accommodate multiple (nonlinear) control objectives in a single design. By defining an appropriate control law, the system state is always driven to the minima of the designed potential function which guarantees the required performance of the system.

A Psychologically-Based Simulation of Human Behaviour

Abstract: We describe a system designed to simulate human behaviour in crowds in real-time, concentrating particularly on collision avoidance. The algorithms used are based heavi ly on psychology research, and the ways this has been used are explained in detail. We argue that this approac h gives better results than conventional methods, and detail further work to be done.

Motion Plan of Maritime Autonomous Surface Ships by Dynamic Programming for Collision Avoidance and Speed Optimization.

Abstract: Maritime Autonomous Surface Ships (MASS) with advanced guidance, navigation, and control capabilities have attracted great attention in recent years. Sailing safely and efficiently are critical requirements for autonomous control of MASS. The MASS utilizes the information collected by the radar, camera, and Autonomous Identification System (AIS) with which it is equipped. This paper investigates the problem of optimal motion planning for MASS, so it can accomplish its sailing task early and safely when it sails together with other conventional ships. We develop velocity obstacle models for both dynamic and static obstacles to represent the potential conflict-free region with other objects. A greedy interval-based motion-planning algorithm is proposed based on the Velocity Obstacle (VO) model, and we show that the greedy approach may fail to avoid collisions in the successive intervals. A way-blocking metric is proposed to evaluate the risk of collision to improve the greedy algorithm. Then, by assuming constant velocities of the surrounding ships, a novel Dynamic Programming (DP) method is proposed to generate the optimal multiple interval motion plan for MASS. These proposed algorithms are verified by extensive simulations, which show that the DP algorithm provides the lowest collision rate overall and better sailing efficiency than the greedy approaches.