Advanced Driver Assistance System Based on Automated Routines for the Benefit of Human Faults Correction in Robotics Vehicles

Bruno, Diego Renan; Santos, Tiago C. dos; Silva, Junior A. R.; Wolf, Denis F.; Osório, Fernando Santos

doi:10.1109/lars/sbr/wre.2018.00029

Cited by 3 publications

(2 citation statements)

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“…When D(x) has the lowest value, the vehicle and the curve road model are closest. The point where the derivative of D (x) is zero is calculated by Equation (3). At this time, D (x) has a maximum value or minimum value.…”

Section: Finding the Closest Point To An Equation Of A Curvementioning

confidence: 99%

“…According to the Korean National Police Agency and the National Highway Traffic Safety Administration (NHTSA), the increase of vehicles on roads is accompanied by a proportional increase in traffic accidents caused by careless driving [1,2]. Several research and development projects are being conducted on functions such as advanced driver assistance systems (ADAS) around the world to improve drivers' safety and convenience [3]. The autonomous emergency braking (AEB) system is one such representative system.…”

Section: Introductionmentioning

confidence: 99%

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Study on the Improvement of a Collision Avoidance System for Curves

Lee

Kim

2019

Applied Sciences

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Conventional autonomous emergency braking (AEB) systems derive the relative distance of a curve using a curvature calculated through an in-vehicle sensor. However, as the AEB system cannot reflect geometric factors of a curve with variable curvature, it does not accurately estimate relative distances, based on which the AEB performance is evaluated. Accordingly, an AEB system reflecting the geometric information of curves needs to be considered and developed to improve the AEB performance for curves. This study proposes a method to improve the performance of AEB systems for curves through curvilinear coordinate conversion, which is used to reflect the geometric information of roads for the navigation of an autonomous vehicle. Both the host and target vehicles are located by means of curvilinear coordinate conversion. The positions thus identified are used to calculate the relative distance and lanes. Finally, the hazard risk criterion—that is, time-to-collision (TTC)—is derived using the proposed AEB system. To demonstrate the effectiveness of the proposed AEB system, this study compares it with the conventional AEB system by analyzing the collision avoidance performance on curves through relative distances and TTC.

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Section: Finding the Closest Point To An Equation Of A Curvementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%