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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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Patent
04 Dec 2007
TL;DR: In this article, a collision warning audio/visual messages and collision detection and avoidance of terrain and obstacles through generation of guidance commands in a closed-loop system were generated by the vision sensors.
Abstract: Collision with ground/water/terrain and midair obstacles is one of the common causes of severe aircraft accidents. The various data from the coremicro AHRS/INS/GPS Integration Unit, terrain data base, and object detection sensors are processed to produce collision warning audio/visual messages and collision detection and avoidance of terrain and obstacles through generation of guidance commands in a closed-loop system. The vision sensors provide more information for the Integrated System, such as, terrain recognition and ranging of terrain and obstacles, which plays an important role to the improvement of the Integrated Collision Avoidance System.

16 citations

Proceedings ArticleDOI
19 Jun 2012
TL;DR: The safety assessment methodology, including the architecture and evaluation metrics, is described, and preliminary results for key system architecture and design tradeos are presented.
Abstract: Sense and avoid is the primary technical barrier to increased unmanned aircraft system airspace access. A safety assessment driven approach to sense and avoid system design and requirements validation is being employed to ensure safety and operational suitability. The foundation of this approach is a fast-time modeling and simulation architecture originally used to support the certication of the Trac Alert and Collision Avoidance System. This paper describes the safety assessment methodology, including the architecture and evaluation metrics, and presents preliminary results for key system architecture and design tradeos.

16 citations

Journal Article
TL;DR: In this article, an innovative approach for a collision avoidance system that aims to reduce traffic accidents involving pedestrians or cyclists is presented, and a physical analysis of the system time available between detection, warning, and reaction is presented in order to provide an overview of the time constraint.
Abstract: Traffic accidents involving pedestrians or cyclists cause thousands of fatalities and serious injuries each year. This article presents an innovative approach for a collision avoidance system that aims to reduce these accidents. The different architectural approaches utilizing ad hoc and/or cellular technologies and various processing setups are discussed, and a physical analysis of the system time available between detection, warning, and reaction is presented in order to provide an overview of the time constraint.

16 citations

Patent
24 Dec 2003
TL;DR: Reverse driving unit for assisting a driver driving backwards comprises a video camera directed backwards and an illumination unit for generating a light pattern at a distance from the camera and an evaluation unit that derives distance and position information from the pattern image and generates information relating to an obstacle on a monitor as mentioned in this paper.
Abstract: Reverse driving unit for assisting a driver driving backwards comprises a video camera directed backwards and an illumination unit for generating a light pattern at a distance from the camera and an evaluation unit that derives distance and position information from the pattern image and generates information relating to an obstacle on a monitor. The invention also relates to a corresponding method.

16 citations

01 Jun 2005
TL;DR: Findings from the second CAMP FCW project are discussed, which was focused on evaluating and developing the FCW timing approach and examining drivers’ decision-making and avoidance maneuver behavior in rear-end crash scenarios.
Abstract: This paper provides an update on two cooperative research projects being conducted under the National Highway Traffic Safety Administration’s (NHTSA's) Rear-End Crash Prevention Program. The first project is the General Motors-Ford Crash Avoidance Metrics Partnership (CAMP) Forward Collision Warning (FCW) work. Since 1995, this project has been aimed at defining and developing pre-competitive enabling elements to facilitate FCW system deployment. The second project is the General Motors-led Automotive Collision Avoidance System Field Operational Test (ACAS FOT), which aims to accelerate the deployment of active safety systems by integrating and field-testing vehicles outfitted with Adaptive Cruise Control (ACC) and Forward Collision Warning (FCW) systems. Results from the first CAMP FCW project played an important role in the development of the SAE J2400 Recommended Practice, “Human Factors in Forward Collision Warning Systems: Operating Characteristics and User Interface Requirements”. This paper discusses findings from the second CAMP FCW project, which was focused on evaluating and developing the FCW timing approach and examining drivers’ decision-making and avoidance maneuver behavior in rear-end crash scenarios. The closed-course, test track methodology employed allows safely placing naive drivers in realistic rear-end crash scenarios so that driver behavior can be observed. The human factors experimentation and key results from this project will be discussed in this paper. During the ACAS FOT project, a small fleet of vehicles was built and given to lay drivers for their personal use. Each driver had a vehicle for approximately four weeks, three of which had both the ACC and FCW features enabled. The collected data provided objective information about how the subjects used the system and its impact on their driving behavior. It also includes extensive subjective information collected through questionnaires, interviews, and focus groups. The system design, design and execution of the FOT, and highlights of results are discussed in this paper.

16 citations


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