Evaluation of Cost Effective Sensor Combinations for a Vehicle Precrash Detection System

Birdsong, Charles; Schuster, Peter; Thompson, William J.; Kawano, Daniel

doi:10.4271/2005-01-3578

Cited by 11 publications

(4 citation statements)

References 6 publications

(5 reference statements)

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“…Pre-crash systems are being discussed mostly for frontal impact [15], being detection technologies and Automated Emergency Braking Systems in the State of the art. The present work shows the potential of these systems in the event of side impact in terms of improved biomechanical dummy values, even when starting from a reference vehicle with a very good performance under Euro NCAP side impact assessment.…”

Section: Discussionmentioning

confidence: 99%

Innovative passive and active countermeasures for near side crash safety

Luzon-Narro

Arregui‐Dalmases

Hernando

et al. 2013

International Journal of Crashworthiness

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-This research presents six simultaneous innovative occupant near side lateral impact protection concepts including a dynamic door, high-volume side airbag, a large external airbag that covers doors, sill and B-pillar of the struck vehicle and other concepts for increasing the distance between the occupant and the door panel (active armrest, inflatable door beam and moving seat). All systems are based on pre crash detection of the impact and are activated as soon as 80ms before the impact. This paper details the task of integrating these systems into a vehicle using FE models, sled tests, and full scale crash tests. Sled test dummy responses were compared with and without the countermeasures.

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Section: Discussionmentioning

confidence: 99%

Innovative passive and active countermeasures for near side crash safety

Luzon-Narro

Arregui‐Dalmases

Hernando

et al. 2013

International Journal of Crashworthiness

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“…Ultrasonic sensors are being expensive nowadays as they are the inseparable part of Adaptive cruise control system. However, the additional cost of implementation is lowered [6]. LIDAR frameworks costly frameworks that are fixed on outer part of automobiles.…”

Section: Methodsmentioning

confidence: 99%

Automobile Collision Detection and Avoidance System

B*,

P. S

2020

IJITEE

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Maintaining road safety and safe driving are the challenges faced by the driver. To support the drive, there are on board safety systems mounted in the vehicles. However, these systems display visual messages that distract the driver’s attention from the road. There is a need for a system that can indicate the situations by keeping the attention of the driver on road. This paper is a proposal of a method that can be used to assist the drives while driving by generating the audio output based on the situation. According to research, driver assistance system is a solution for minimizing the time and frequency of drivers moving their eyes off traffic. Different approaches to assist the driver are discussed in this paper along with the challenges involved in executing them. The implementation is carried out using Arduino board and other hardware. The method is tested on samples to generate an audible sound that can be used by the drive to take suitable decision, by keeping eye on the road. This minimizes the need for the driver to look around while driving

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“…Sensing is critical to any collision warning/avoidance system used in automotive industry. Various sensing methods, including ultrasonic sensors, optical and infrared cameras, RADAR and LIDAR, are compared in Carlin et al 20 and Rasshofer and Gresser. 21 In this project, ultrasonic sensors were selected for cyclist detection and motion estimation over other sensing methods because The characteristics of the detection area are well suited to cyclist detection.…”

Section: Sensingmentioning

confidence: 99%

A strategy for avoiding collisions between heavy goods vehicles and cyclists

Jia

Cebon

2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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Heavy goods vehicles turning left across the path of a cyclist cause approximately 40% of the most serious injuries and fatalities to cyclists. A collision avoidance strategy is proposed in this study. Based on measurement of the current position and motion of the cyclist relative to the heavy goods vehicle, the future position of the cyclist after a short period is predicted by assuming constant acceleration and constant yaw rate. The brakes on the heavy goods vehicle are applied if the predicted future cyclist position overlaps the future envelope of the heavy goods vehicle. A parametric study shows that a high portion of potential collisions could be prevented in this way. Nineteen fatal accidents involving left-turning heavy goods vehicles and cyclists are reconstructed in simulation from police report files and the collision avoidance system is simulated. It is concluded that the introduction of the proposed collision avoidance strategy could possibly have prevented up to 18 of the 19 deaths in these accidents.

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Evaluation of Cost Effective Sensor Combinations for a Vehicle Precrash Detection System

Cited by 11 publications

References 6 publications

Innovative passive and active countermeasures for near side crash safety

Innovative passive and active countermeasures for near side crash safety

Automobile Collision Detection and Avoidance System

A strategy for avoiding collisions between heavy goods vehicles and cyclists

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