Collision avoidance

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

Collision avoidance system

Abstract: A method of collision avoidance. The method includes receiving a signal indicative of a potential collision of a vehicle. The method also includes generating a haptic collision alert in response to the signal.

VITA II-active collision avoidance in real traffic

Abstract: An autonomous road vehicle is presented which will prevent collisions automatically. This safety relevant project is part of PROMETHEUS (program for a European traffic with highest efficiency and unprecedented safety). The vehicle demonstrator VITA II (vision technology application) consists of a passenger car which demonstrates its capabilities of collision avoidance on motorways. The video cameras installed in the vehicle acquire information about the environment. The hardware consists of two clusters of parallel processors. The application cluster hosts the computer vision, planning, decision and control modules to perform driving tasks such as: lane keeping with desired speed, reduction of the speed in narrow curves obeying the restrictions given by traffic signs, following the vehicles in front with adaptive distance control, computer vision based traffic sign recognition, object detection and recognition around the vehicle and autonomous immediate collision avoidance maneuvres including overtaking. The vehicle cluster provides the basic structure to control the vehicle by computer.

Realistic car-following models for microscopic simulation of adaptive and cooperative adaptive cruise control vehicles

Abstract: Adaptive cruise control (ACC) and cooperative adaptive cruise control (CACC) are important technologies for the achievement of vehicle automation, and their effect on traffic systems generally is evaluated with microscopic traffic simulations. A successful simulation requires realistic vehicle behavior and minimal vehicle collisions. However, most existing ACC-CACC simulation studies used simplified models that were not based on real vehicle response. The studies rarely addressed collision avoidance in the simulation. The study presented in this paper developed a realistic and collision-free car-following model for ACC-CACC vehicles. A multiregime model combining a realistic ACC-CACC system with driver intervention for vehicle longitudinal motions is proposed. This model assumes that a human driver resumes vehicle control either according to his or her assessment or after a collision warning asks the driver to take over. The proposed model was tested in a wide range of scenarios to explore model performance and collision possibilities. The testing scenarios included three regular scenarios of stop-and-go, approaching, and cut-out maneuvers, as well as two extreme safetyconcerned maneuvers of hard brake and cut-in. The simulation results show that the proposed model is collision free in the full-speed-range operation with leader accelerations within -1 to 1 m/s2 and in approaching and cut-out scenarios. Those results indicate that the proposed ACC-CACC car-following model can produce realistic vehicle response without causing vehicle collisions in regular scenarios for vehicle string operations.

Methods and apparatus for information storage and retrieval utilizing a method of hashing and different collision avoidance schemes depending upon clustering in the hash table

Abstract: An apparatus for performing storage and retrieval in an information storage system is disclosed which uses the hashing technique. In order to provide efficient and graceful operation under varying loading conditions, the system shifts between collision avoidance by linear probing with open addressing when the load is below a threshold, and collision avoidance by external chaining when the load is above a threshold. Insertion, deletion and retrieval operations are arranged to switch dynamically between the two collision avoidance stratagems as the local loading factor on the system, as measured by the number of records hashed to the same address, crosses preselected thresholds.