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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
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Proceedings ArticleDOI
01 Oct 2007
TL;DR: The development of the collision avoidance system shows the usefulness of the specific services and abstractions that Etherware provides to the application designer in facilitating rapid system design and deployment.
Abstract: In this paper we describe the application architecture for a collision avoidance system developed for a fleet of sensorless mobile vehicles. The system has been deployed in the IT Convergence Lab in the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign, which is a testbed for studying system architecture for networked embedded control systems. We describe several factors that a well designed collision avoidance algorithm needs to address, and discuss some of the tradeoffs and design decisions that need to be made. The solution that we have developed has a minimal effect on existing components for higher level functionality, as well their interfaces. The architecture and algorithm provide a low level safety guarantee regardless of higher level objectives. The architecture exploits the infrastructure and services provided by the control domain middleware, called Etherware, which has been developed in the laboratory. Indeed, the development of the collision avoidance system shows the usefulness of the specific services and abstractions that Etherware provides to the application designer in facilitating rapid system design and deployment.

16 citations

Proceedings ArticleDOI
01 Jun 2015
TL;DR: A triggering algorithm for a collaborative, motorcycle-to-car collision avoidance system that slows down the car without input of the driver when the collision becomes imminent is presented.
Abstract: This study presents a triggering algorithm for a collaborative, motorcycle-to-car collision avoidance system that slows down the car without input of the driver when the collision becomes imminent. The algorithm is based on the concept of inevitable state collisions. Example applications of the proposed algorithm were obtained via 2D computer simulations representing a data set of real crashes occurred in Italy, Sweden and Australia. Results indicated that the proposed method can apply to typical crash scenarios.

16 citations

Patent
15 Jun 2016
TL;DR: In this paper, a multi-vehicle coordination collision avoidance system and method based on V2V communication is presented, which belongs to the field of vehicle active safety, and consists of an information collection module, a communication module, an information processing module, and a voice prompt module.
Abstract: The invention discloses a multi-vehicle coordination collision avoidance system and method based on vehicle-vehicle communication, and belongs to the field of vehicle active safety. The system comprises an information collection module, a communication module, an information processing module, and a voice prompt module. The method provided by the invention comprises the steps: collecting the movement data of a target vehicle and a front vehicle in real time through the information collection module, comparing the safety distance of the target vehicle with the distance from the target vehicle to the front vehicle, and judging the danger state of the two vehicles; and starting to judge whether the target vehicle and the front vehicle meet a coordination collision avoidance condition of two vehicles or not when a danger signal is received. When the target vehicle and the front vehicle meet the coordination collision avoidance condition, the time of coordination collision avoidance of the two vehicles and the expected speed are calculated, and are transmitted to other coordination collision avoidance vehicles, thereby achieving a purpose that the vehicles at the same lane achieve the expected speed in a collision time range and move at a constant speed, and achieving the coordination collision avoidance.

15 citations

Journal Article
TL;DR: This report focuses on two human factors studies which used the PATH instrumented Ford Taurus research vehicle to study driver behavior while making left turns and left-turn gap acceptance was examined in an environment where gaps could be more accurately measured and tightly controlled.
Abstract: This report focuses on two human factors studies which used an instrumented research vehicle to study driver behavior while making left turns The first study focused on observing drivers’ intersection approaches and left-turn maneuvers in a mostly naturalistic setting The instrumented vehicle recorded driver actions, such as approach speed, brake activation, steering inputs, and limited estimates of oncoming vehicle gap (and lag) acceptance The second study examined left-turn gap (or lag) acceptance in an environment where gaps could be more accurately measured and tightly controlled It also introduced drivers to the concept of a left-turn Driver Infrastructure Interface (DII), a dynamic, no-left-turn sign, warning signThe vehicle approaches were timed to test the effects of different DII settings such as warning threshold onset timing on gap (lag) acceptance

15 citations

30 Oct 2019
TL;DR: Zinchenko, S., Nosov, P., Mateichuk, V., Mamenko, P, Popovych, I. & Grosheva, O. as mentioned in this paper proposed an automatic collision avoidance system with many targets, including maneuvering ones.
Abstract: Zinchenko, S., Nosov, P., Mateichuk, V., Mamenko, P., Popovych, I. & Grosheva, O. (2019). Automatic collision avoidance system with many targets, including maneuvering ones. Bulletin of university of Karaganda, 96 (4), 69-79. DOI: 0.31489/2019Ph4/69-79

15 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202316
202225
202156
202081
2019128
2018118