Empirical Study of the Braking Performance of Pedestrian Autonomous Emergency Braking (P-AEB)

Siddiqui, Omair; Famiglietti, Nicholas; Nguyen, Benjamin; Hoang, Ryan; Landerville, Jon

doi:10.4271/2020-01-0878

Cited by 9 publications

(2 citation statements)

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“…In a previous study, a distance calculation method using geometric information of lanes, vanishing points, and preceding vehicles detected in the camera image mounted on the vehicle was proposed. The method is as follows [10]: First, the lane width in the image may be calculated by using the lane and vanishing point detected in the camera image. The detected lanes and vanishing points are shown in Figure 1.…”

Section: Theory Of Distance Measurement Using a Monocular Cameramentioning

confidence: 99%

“…A FOV of 35 • was estimated to be required to detect and react to the majority of crash scenarios. Siddiqui et al [10] analyzed an empirical study of the braking performance of AEB-P. The Insurance Institute for Highway Safety (IIHS) has performed tests on eleven such vehicles; these data are publicly available and were analyzed for this study.…”

Section: Introductionmentioning

confidence: 99%

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A Study on the Evaluation Method of Autonomous Emergency Vehicle Braking for Pedestrians Test Using Monocular Cameras

Kim

Lee

2020

Applied Sciences

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Traffic accidents continue to increase in Korea as traffic increases, and the resulting loss of life is also on the rise. According to data surveyed by the South Korean National Police Agency, 45,921 pedestrian traffic accidents were reported in 2019, resulting in 1487 deaths and 46,400 injuries. Due to the increased interest in traffic accident safety, the Advanced Driver Assistance System (ADAS) concept is rapidly developing and playing a significant role in coping with activities that are not recognized by the driver. Autonomous Emergency Braking (AEB), a representative ADAS system, is a system that is useful for preventing and mitigating accidents by braking vehicles in emergencies. For the study of AEBs’ safety evaluation methods for pedestrians, a distance measurement method using a monocular camera with excellent accessibility, and measurement equipment required to validate data on the movement of vehicles, and a dummy to replace pedestrians are used. Based on the evaluation scenario considering the proposed Korea road environment, the relative distance obtained from equipment like DGPS and the relative distance using a monocular camera is compared and analyzed to verify safety. Comparative analysis shows that the minimum deviation is 2.3 cm, the third test result of 30 km/h of Car-to-Pedestrian Nearside Child (CPNC), and the maximum deviation is 25 cm, the first test result of 25 km/h of Car-to-Pedestrian Nearside Adult (CPNA). The main factor in error generation is that the lane recognition in the camera image is not accurate, and the perception of small children is slow, which is why emergency braking is considered to have been slow. It is deemed that a safety assessment in weather conditions of adverse conditions will be required in the future.

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Section: Theory Of Distance Measurement Using a Monocular Cameramentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%