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
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18 Nov 2008
TL;DR: The lane and vehicle detection with distance estimation algorithm is proposed by using a CCD camera mounted behind the windshield of the experimental car, TAIWAN iTS-1, and will be integrated into the lane departure warning and collision avoidance system with the visual and audio alerts to warn the careless drivers.
Abstract: In this paper, the lane and vehicle detection with distance estimation algorithm is proposed by using a CCD camera mounted behind the windshield of our experimental car, TAIWAN iTS-1. The gray level and gradient value are applied for the lane marking detection. The lane marking information is utilized in vehicle detection algorithm. The front vehicles are recognized by comparing the gray level value and Sobel edge pixels. Then, the image coordinate model is utilized for the distance estimation with the located approaching vehicles. The verified effective distance is 50 m in front of the host vehicle. This approach has been successfully implemented on the DSP system which is designed by us for the real-time detection. This system will be integrated into the lane departure warning and collision avoidance system with the visual and audio alerts to warn the careless drivers.
8 citations
Dissertation•
01 Mar 2018
TL;DR: The theoretical research achieved was integrated into an effort to implement an Automatic Collision Avoidance System (ACAS) to verify the short range DAA performance for small UAS in the visual-line-of-sight tests performed at the RAVEN test site in Argentia, NL.
Abstract: A formidable barrier for small Unmanned Aircraft Systems (UAS) to be integrated
into civil airspace is that small UAS currently lack the ability to Detect and Avoid
(DAA) other aircraft during
ight operations; however, this ability is an essential part
of regulations governing the general operation of aircraft in civil airspace. In this way,
the research described is focused on achieving an equivalent level of safety for small
UAS as manned aircraft in civil airspace.
A small UAS DAA system was proposed to guide small UAS to detect nearby
traffic, identify hazards, assess collision risks, perform mitigation analyses, and choose
appropriate maneuvers to avoid potential collisions in mid-air encounters. To facilitate
system development and performance evaluation, the proposed DAA system was
designed and implemented on a fast-time simulation-based analysis platform, on which
a set of quantifiable analysis metrics were designed for small UAS to improve situation
awareness in hazard identification and collision risk assessment; and a learning-based
Smart Decision Tree Method (SDTM) was developed to provide real-time supervisory
DAA guidance for small UAS to avoid potential collisions in mitigation analysis.
The theoretical research achieved was also integrated into an effort to implement
an Automatic Collision Avoidance System (ACAS) to verify the short range DAA
performance for small UAS in the visual-line-of-sight
ight tests performed at the
RAVEN test site in Argentia, NL.
8 citations
Journal Article•
TL;DR: In this article, the authors used hybrid modeling to combine theoretical analysis and real vehicle test data into a dynamics model for vehicle collision avoidance systems, and the results agreed well with real vehicle tests.
Abstract: Vehicle longitudinal dynamic modeling is one of the key technologies in the vehicle control method used in vehicle collision avoidance systems. In this paper, hybrid modeling was used to combine theoretical analysis and real vehicle test data into a dynamics model. Standard vehicle component data was used to develop an accurate but simple longitudinal vehicle model. This model can analyze every vehicle driving state for a complete vehicle collision avoidance system. Simulation results agreed well with real vehicle tests.
8 citations
01 Jul 2000
TL;DR: This study evaluated the effects of imperfect warning collision alarms on driver behavior and showed that drivers tend to overestimate their headway, and that systems that alert drivers to unsafe temporal headways are useful in teaching drivers to estimate headway more accurately.
Abstract: Intelligent transportation systems (ITS) have enhanced the way we can deal with road safety issues. Unlike in-vehicle safety systems such as air bags and safety belts that focus on injury reduction...
8 citations
06 Nov 2009
TL;DR: In this article, a new risk assessment approach based on probability theory and presented corresponding warning strategy for intersection collision avoidance system was proposed and a traffic simulation platform was also developed with VISSIM to evaluate collision avoidance performance.
Abstract: This paper proposed a new risk assessment approach based on probability theory and presented corresponding warning strategy for intersection collision avoidance system. Simulation evaluation method was also addressed and evaluation criterions were improved. After an introduction of background and related works of risk assessment for intersection collision avoidance system, a probability model was established to assess crossing path collision risk. Then the warning strategy was made in two traffic scenarios separately. Warning would be issued if risk value beyond risk threshold. A traffic simulation platform was also developed with VISSIM to evaluate collision avoidance performance. The evaluation criterion included not only missed and nuisance warning ratio corresponding to various arrival time difference, but also the required deceleration after warning.
8 citations