Developing an Autonomous Vehicle Control System for Intersections Using Obstacle/Blind Spot Detection Frames

Yoshihira, Masanori; Watanabe, Seigo; Nishira, Hikaru; Kishi, Naoto

doi:10.4271/2016-01-0143

Cited by 3 publications

(1 citation statement)

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“…Sander conducted a simulation study of a left turn across a path with traffic from the oncoming direction in right-hand traffic to show the effectiveness of the turning vehicle's AEBS [3,4]. Furthermore, according to literature survey, there are a number of studies attempting to develop a vehicle control algorithm for the purpose of autonomous collision avoidance in left turn/right turn across path scenarios [5][6][7][8][9][10][11][12]. On the other hand, collision avoidance methods utilizing connected vehicle technologies are also being developed for the same scenarios [13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Proactive Braking Control System for Collision Avoidance during Right Turns with Occluded Vision at an Intersection

Aoki,

Fujinami,

Raksincharoensak

et al. 2024

Applied Sciences

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This paper describes the development of an Advanced Driver Assistance System (ADAS) which will allow drivers to avoid collisions with an oncoming vehicle from an occluded area when turning right at intersections in left-hand traffic. Connected vehicles, in coordination with infrastructure, represent one of the commercialized ADAS technologies for collision avoidance. However, the coverage of the ADAS will be limited to designated intersections only, as communication equipment needs to be installed in both the vehicle and infrastructure to enable the assistance. This paper proposes an ADAS using on-board sensors, independent of infrastructure facilities, to control the vehicle velocity to avoid collisions. Most current intersection assistance, by using an Autonomous Emergency Braking System (AEBS), allows the driver to avoid a collision with oncoming vehicles when there is clear vision without occlusion. However, many accidents occur when the vehicle detects the oncoming vehicle too late because of occlusion in the intersection, such as a vehicle in the opposite lane. This system calculates the hazardous speed criteria of the ego vehicle, which might result in a high risk of collision when darting out occurs, and provides speed control assistance to allow the driver to escape from the hazardous speed region. The simulation results reveal that the proposed system effectively reduces the possibility of collisions compared to conventional AEBS.

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Section: Introductionmentioning

confidence: 99%

Proactive Braking Control System for Collision Avoidance during Right Turns with Occluded Vision at an Intersection

Aoki,

Fujinami,

Raksincharoensak

et al. 2024

Applied Sciences

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A novel context-aware system to improve driver’s field of view in urban traffic networks

Nourbakhshrezaei

Jadidi

Delavar

et al. 2022

Journal of Intelligent Transportation Systems

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Modeling the algorithm of the automatic emergency braking system with the prediction of the coefficient of tire grip

Petin¹,

Keller²

2020

IOP Conf. Ser.: Mater. Sci. Eng.

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The problem of improving road safety is currently one of the most significant in the automotive industry. One of the promising ways to improve road safety is the development and introducing of intelligent active safety systems for automobiles. To solve the problem of improving safety, world leaders in the automotive industry are actively engaged in the development and implementation of intelligent control systems that provide control over the movement of the car and can partially intervene in driving. The article is devoted to the effectiveness of the automatic emergency braking system in accordance with the climatic and road conditions of Russia. The report discusses the problems of determining the coupling properties of the wheels of a car with a road on various surfaces, discusses the problems of predicting braking distance. Options for improving forecasting and building algorithms for the automatic emergency braking system are considered.

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Developing an Autonomous Vehicle Control System for Intersections Using Obstacle/Blind Spot Detection Frames

Cited by 3 publications

References 0 publications

Proactive Braking Control System for Collision Avoidance during Right Turns with Occluded Vision at an Intersection

Proactive Braking Control System for Collision Avoidance during Right Turns with Occluded Vision at an Intersection

A novel context-aware system to improve driver’s field of view in urban traffic networks

Modeling the algorithm of the automatic emergency braking system with the prediction of the coefficient of tire grip

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