Collision avoidance

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

Close formation aircraft collision avoidance

Abstract: Collision avoidance systems are provided for groups of aircraft operating in close proximity, as during formation flights or cooperative missions. Fixed and rotary airfoil aircraft with separations of 30 feet to 5 miles, for example, participate in a local radio sub-net. An aircraft receiving CAS sub-net signals derives signal transit time values representing differences between send and receive times and which are used to derive data on inter-aircraft range and closing rate. With synchronized clocks, highly-accurate one-way ranging uses assigned time slots with predetermined sub-net time-of-day timing of transmissions. Round-trip ranging operates with less accurate time synchronization, and systems may operatively select between one-way and round-trip ranging. By exchange of range and closing rate data among aircraft, 3-D data for current three-dimensional location of aircraft enables evasive action determination. Data is thus made available for provision of audio and visual flight crew communications indicating alerts and warnings of impending collision danger and appropriate evasive action.

Vehicle Collision Avoidance System and Method

Abstract: A vehicle collision avoidance system is implemented in a host vehicle. A wireless communication module in the host vehicles wirelessly broadcasts vehicle information packages of the host vehicle and receives external vehicle information packages from other neighboring vehicles. Based on the received vehicle information packages, a collision avoidance process is performed. The process has steps of mapping coordinates system, categorizing collision zones, determining whether a possible collision position exists, calculating a collision time and outputting warning messages. The estimations of the possible collision position and the collision time are not affected by the positions of the neighboring vehicles. Therefore, the neighboring vehicles approaching the host vehicle from different direction are effectively monitored.

The collision avoidance problem: Methods and algorithms

Abstract: Tesis Doctoral leida en la Universidad Rey Juan Carlos en noviembre de 2010. Directores de la Tesis: Laureano F. Escudero y Antonio Alonso Ayuso

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

Abstract: Robots that navigate among pedestrians use collision avoidance algorithms to enable safe and efficient operation. Recent works present deep reinforcement learning as a framework to model the complex interactions and cooperation. However, they are implemented using key assumptions about other agents' behavior that deviate from reality as the number of agents in the environment increases. This work extends our previous approach to develop an algorithm that learns collision avoidance among a variety of types of dynamic agents without assuming they follow any particular behavior rules. This work also introduces a strategy using LSTM that enables the algorithm to use observations of an arbitrary number of other agents, instead of previous methods that have a fixed observation size. The proposed algorithm outperforms our previous approach in simulation as the number of agents increases, and the algorithm is demonstrated on a fully autonomous robotic vehicle traveling at human walking speed, without the use of a 3D Lidar.

A Simplified Simulation Model of Ship Navigation for Safety and Collision Avoidance in Heavy Traffic Areas

Abstract: Based on our previously developed ship collision avoidance steering system, this paper develops a more extensive collision avoidance decision-making system for non-uniformly moving ships. A real-time simulator based on the Six-Dimensional (6D) Manoeuvring Modelling Group (MMG) model is used to simulate the ship's motion. To validate the manoeuvring mathematical model, sea trial measurements of a container ship (C-3) have been selected. This study incorporates Nomoto's second-order model into a numerical model to calculate the turning characteristics of the ship. The manoeuvring indices of Nomoto's model are the knowledge base of the simplified ship simulation model. To verify the ship collision avoidance system with respect to different traffic factors, simple and complex collision avoidance cases have been designed in fast-time simulations with multi-ship encounter conditions. The simplified simulation model developed here can quickly determine the helm angle when the ship makes a collision avoidance manoeuvre, which is helpful for the safety of ship navigation in heavy traffic areas.