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Ömer Kaya, Muhammed Yasin Çodur and Enea Mustafaraj
Autonomous vehicles have gained popularity in recent years, but they are still not compatible with other vulnerable components of the traffic system, including pedestrians, bicyclists, motorcyclists, and occupants of smaller vehicles such as passenger ca...
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Jonas Kobbert, Anil Erkan, John D. Bullough and Tran Quoc Khanh
In order to find optimized headlight distributions based on real traffic data, a three-step approach is chosen. Since the complete investigations are too extensive to fit into a single publication, this paper is the first in a series of three publication...
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Kefu Yi, Kai Luo, Tuo Chen and Rongdong Hu
Aimed at the vehicle/pedestrian visual sensing task under low-light conditions and the problems of small, dense objects and line-of-sight occlusion, a nighttime vehicle/pedestrian detection method was proposed. First, a vehicle/pedestrian detection algor...
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Yanhua Shao, Xingping Zhang, Hongyu Chu, Xiaoqiang Zhang, Duo Zhang and Yunbo Rao
Aerial object detection acts a pivotal role in searching and tracking applications. However, the large model, limited memory, and computing power of embedded devices restrict aerial pedestrian detection algorithms? deployment on the UAV (unmanned aerial ...
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Mingtao Guo, Donghui Xue, Peng Li and He Xu
Object detection for vehicles and pedestrians is extremely difficult to achieve in autopilot applications for the Internet of vehicles, and it is a task that requires the ability to locate and identify smaller targets even in complex environments. This p...
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Sarfraz Ahmed, M. Nazmul Huda, Sujan Rajbhandari, Chitta Saha, Mark Elshaw and Stratis Kanarachos
As autonomous vehicles become more common on the roads, their advancement draws on safety concerns for vulnerable road users, such as pedestrians and cyclists. This paper presents a review of recent developments in pedestrian and cyclist detection and in...
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Donghwoon Kwon, Ritesh Malaiya, Geumchae Yoon, Jeong-Tak Ryu and Su-Young Pi
One of the recent news headlines is that a pedestrian was killed by an autonomous vehicle because safety features in this vehicle did not detect an object on a road correctly. Due to this accident, some global automobile companies announced plans to post...
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Fenglei Ren, Xin He, Zhonghui Wei, Lei Zhang, Jiawei He, Zhiya Mu and You Lv
Road detection is a crucial research topic in computer vision, especially in the framework of autonomous driving and driver assistance. Moreover, it is an invaluable step for other tasks such as collision warning, vehicle detection, and pedestrian detect...
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Johan Scholliers, Martijn van Noort, Charlotta Johansson, Dick Mans, ... Kerry Malone
Pág. 4515 - 4524
The EU-sponsored VRUITS project has prioritized ITS applications which have a potential to improve the safety, mobility and comfort of vulnerable road users (VRUs) and performed a quantitative safety, mobility and comfort assessment for the 10 most promi...
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Piotr Olszewski, Ilona Buttler, Witold Czajewski, Pawel Dabkowski, ... Anna Zielinska
Pág. 2044 - 2053
Pedestrian fatality rate in Poland of 30 deaths per year per million population was the second highest among the EU countries in 2013. In the years 2007-2013 some 13% of pedestrian fatalities and 26% of injuries occurred at unsignalized pedestrian crossi...
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