Topic
Collision avoidance system
About: Collision avoidance system is a research topic. Over the lifetime, 1788 publications have been published within this topic receiving 23667 citations.
Papers published on a yearly basis
Papers
More filters
Proceedings Article•
01 Jan 2014
TL;DR: STPA has proved to be an effective and efficient hazard analysis method for assessing the safety of a safety-critical system and it requires a moderate level of effort.
Abstract: As our society becomes more and more dependent on IT systems, failures of these systems can harm more and more people and organizations both public and private. Diligently performing risk and hazard analysis helps to minimize the societal harms of IT system failures. In this paper we present experiences gained by applying the System Theoretic Process Analysis (STPA) method for hazard analysis on a forward collision avoidance system. Our main objectives are to investigate effectiveness in terms of the number and quality of identified hazards, and time efficiency in terms of required efforts of the studied method. Based on the findings of this study STPA has proved to be an effective and efficient hazard analysis method for assessing the safety of a safety-critical system and it requires a moderate level of effort. (Less)
20 citations
Patent•
18 Jul 2012TL;DR: In this article, a system and method for suppressing collision warning in a host vehicle is presented, where the host vehicle suppresses a collision warning when a detected stationary object is in a safe zone based on the remote vehicle position data, thereby preventing false collision warnings.
Abstract: A system and method for suppressing collision warning in a host vehicle is provided. The system receives position data from a remote vehicle. The host vehicle suppresses a collision warning when a detected stationary object is in a safe-zone based on the remote vehicle position data, thereby preventing false collision warnings.
19 citations
TL;DR: The method is demonstrated on a collision avoidance system example and, given the models used and absence of measurements errors, it is shown that the system does not make incorrect decisions.
19 citations
01 Oct 2000
TL;DR: A multi-sensor collision avoidance system (GAS) presented in this paper is based on a fusion scheme that utilizes fuzzy clustering and estimation techniques and employs fuzzy logic to initiate an audio and visual warning system.
Abstract: A multi-sensor collision avoidance system (GAS) presented in this paper is based on a fusion scheme that utilizes fuzzy clustering and estimation techniques. Measurements from radar, vision and sonar are discriminated, fused and used to estimate relative motion between the prime and front vehicles. The estimated motion is then used to predict possibility of collision with the vehicle in the headway. Fuzzy logic is employed to initiate an audio and visual warning system. It also deploys a throttle relaxer and brake actuator to slow down the prime vehicle. Simulation study was carried out to evaluate the CAS concept. An actual concept prototype was implemented on a military vehicle to validate the feasibility.
19 citations