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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.


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Proceedings Article
10 Dec 2012
TL;DR: In this paper, a collision avoidance algorithm based on the virtual target path-following guidance technique is proposed for Unmanned Surface Vehicle multi-agent frameworks, which is integrated with the distributed guidance module already developed for cooperative and coordinated navigation of USVs.
Abstract: This paper presents a collision avoidance algo- rithm based on the virtual target path-following guidance technique, developed for Unmanned Surface Vehicle multi- agent frameworks. The proposed collision avoidance procedure is integrated with the distributed guidance module already developed for cooperative and coordinated navigation of USVs. A basic integration of the collision avoidance system with the "Rules of the Road" is proposed too. Results of the overall collision free cooperative system are then presented.

9 citations

Proceedings ArticleDOI
01 Jul 2006
TL;DR: This paper proposes Intersection Collision Avoidance (ICA) system architecture, which is one of the representative services of Telematics, and performs several kinds of simulations to verify a feasibility of the ICA architecture.
Abstract: In this paper, we are concerned with new system architecture in wireless sensor networks for new paradigm of services. The new architecture focuses on particular applications of real-time and reliable wireless information system. As a killer application in sensor networks, Telematics emphasizes the need for reliable raw data acquisition, real-time data transmission, and effective data analysis. So, we propose wireless information system architecture for real-time Telematics services. More specifically, we propose Intersection Collision Avoidance (ICA) system architecture, which is one of the representative services of Telematics. Then, we perform several kinds of simulations to verify a feasibility of the ICA architecture.

9 citations

Patent
20 Oct 2017
TL;DR: In this article, a mobile platform automatic collision avoidance method consisting of acquiring environmental data of the surrounding environment of the mobile platform, recognizing whether there is an obstacle or not in the environmental data, and acquiring information of the obstacle and the current moving state of mobile platform is presented.
Abstract: The invention discloses a mobile platform automatic collision avoidance method. The mobile platform automatic collision avoidance method comprises the steps of acquiring environmental data of the surrounding environment of a mobile platform; recognizing whether there is an obstacle or not in the environmental data, and acquiring information of the obstacle and the current moving state of the mobile platform; calculating the maximum safe speed of the mobile platform; calculating target moving speed of the mobile platform and controlling the mobile platform to move according to the target moving speed; setting a distance threshold, judging a relation between the distance between the obstacle and the mobile platform and the distance threshold, and controlling the mobile platform to bypass the obstacle according to a judgment feedback result. The mobile platform automatic collision avoidance method provided by the invention can effectively respond to an obstacle in the environment and avoid collision with the obstacle. The invention further provides an automatic collision avoidance system and a mobile platform comprising the automatic collision avoidance system.

9 citations

Book ChapterDOI
Jonas Jansson1
01 Jan 2004
TL;DR: In this article, a driver assist system that performs autonomous braking when the vehicle is close to colliding is discussed, and a computationally efficient method for decision-making is proposed.
Abstract: Modern automobiles incorporate more and more active driver assist system that uses sensors and microprocessors to control the vehicles dynamics. This paper discus a driver assist system that performs autonomous braking when the vehicle is close to colliding. Decision making in such systems is inherently uncertain, due to the sensors’ measurement uncertainty and the uncertainty of the driver’s future actions. Furthermore computational capacity is limited by the microprocessors used in automotive applications. In this paper considerations for dealing with the uncertainty of the estimated parameters in the decision making process is discussed. Risk metrics and a computationally efficient method for decision making is proposed. It will be shown that under certain conditions the risk for a to early intervention can be kept constant for different closing velocities using the proposed method. Furthermore tracking and modelling of driver, sensors and brake system is discussed. The models of driver actions and of the radar sensor measurement error are based on measurements from a Collision Avoidance system equipped Volvo V70, provided by Volvo Car Corporation.

9 citations


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