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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28 Dec 2015TL;DR: In this article, a system and method for providing target selection and threat assessment for vehicle collision avoidance purposes that employ probability analysis of radar scan returns is presented, where the system determines a travel path of a host vehicle and provides a radar signal transmitted from a sensor on the host vehicle, and makes a threat assessment of those objects by comparing a number of scan return points that indicate that the object may enter the travel path to the number of scans that are received for that object.
Abstract: A system and method for providing target selection and threat assessment for vehicle collision avoidance purposes that employ probability analysis of radar scan returns. The system determines a travel path of a host vehicle and provides a radar signal transmitted from a sensor on the host vehicle. The system receives multiple scan return points from detected objects, processes the scan return points to generate a distribution signal defining a contour of each detected object, and processes the scan return points to provide a position, a translation velocity and an angular velocity of each detected object. The system selects the objects that may enter the travel path of the host vehicle, and makes a threat assessment of those objects by comparing a number of scan return points that indicate that the object may enter the travel path to the number of the scan points that are received for that object.
11 citations
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01 Nov 2016TL;DR: A practical method to evaluate the performance of FCATs by using a novel driver hazard perception measure, namely driver's risk response time, which shows the proposed measure for hazard perception is capable of describing drivers' awareness of collision risk.
Abstract: Evaluating the performance of Forward Collision Avoidance Technologies (FCATs) is essential in the early stage of the system testing. Drivers are the key interaction parts between the FCATs and vehicles, which play an important role in the performance evaluation. This paper proposes a practical method to evaluate the performance of FCATs by using a novel driver hazard perception measure, namely driver's risk response time. This measure describes the driver's awareness of potential collision risk, which is defined based on the Time-to-collision (TTC) and driver's brake response in a near-crash scenario. A two-month naturalistic driving experiment has been conducted using a vehicle equipped with one FCAT, i.e., Collision Mitigation Brake System (CMBS). An interval-based cumulative frequency data pretreatment method is used to extract near-crashes. Then, the hazard perception measure is computed in near-crashes with CMBS on and off, which can show the effectiveness of CMBS. The results demonstrate that CMBS is highly-positive in improving driver's hazard perception, especially in speed range between 45 km/h and 60 km/h. This fact is consistent with the expected effect of CMBS, which shows the proposed measure for hazard perception is capable of describing drivers' awareness of collision risk. In addition, this measure is applicable to assess the performance of FCATs during the function designing stage.
11 citations
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30 Sep 2013TL;DR: This paper designs and implements a lane-level cooperative collision avoidance (LCCA) system using vehicle-to-vehicle communications and onboard sensing to form warning groups, and is the first CCA system that does not use inaccurate GPS locations and costly roadside infrastructures to avoid chain vehicle collisions.
Abstract: In this paper, we design and implement a lane-level cooperative collision avoidance (LCCA) system using vehicle-to-vehicle communications. The LCCA system applies vehicular sensor networks to preventing chain vehicle collisions, which allows vehicles with merely onboard sensors to prevent such collisions on the road because of sharp stops. To the best of our knowledge, this is the first CCA system that does not use inaccurate GPS locations and costly roadside infrastructures to avoid chain vehicle collisions. LCCA employs inter-vehicle communications and onboard sensing to form warning groups, where each warning group is a set of vehicles that drive along the same lane and every pair of adjacent cars is within a certain distance. Only single-hop transmissions are needed to join/leave a warning group, thus keeping the group maintenance overhead low. When a sudden braking is taken in a warning group, LCCA can quickly propagate warning messages among group members. This paper demonstrates our current prototype.
11 citations
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25 Feb 2005TL;DR: In this article, a signaling device for displaying and/or issuing warning and informational alerts in vehicles via visual or acoustic signal sources is described, direction-related information being supplied to the driver based on an available signal, e.g., from a collision avoidance system, and this information relates to an event associated with a specific object.
Abstract: A signaling device for displaying and/or issuing warning and/or informational alerts in vehicles via visual and/or acoustic signal sources is described, direction-related information being supplied to the driver based on an available signal, e.g., from a collision avoidance system, and this information relates to an event associated with a specific object regarding which the warning is to be issued.
11 citations