Abstract
In recent years, in the face of the increasingly complicated traffic environment caused by the significant increase in the number of motor vehicles, in order to improve road traffic safety, autonomous driving technology has become the focus of research, and various related approaches have been proposed. Among them, the design of practical traffic-related target detection method has received a lot of attention as an indispensable prerequisite for vehicles to independently formulate pedestrian and obstacle collision avoidance strategies. In this article, we will first briefly introduce the development of related detection technologies. Then we will systematically introduce the current development trend of traffic target detection technology, and focus on the technical problems and related technical challenges that have not been solved by the existing methods in practical use. At the end of the article, we will provide some potential solutions to these challenges.
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CITATION STYLE
Sun, P., & Boukerche, A. (2020). Challenges and Potential Solutions for Designing A Practical Pedestrian Detection Framework for Supporting Autonomous Driving. In MobiWac 2020 - Proceedings of the 18th ACM Symposium on Mobility Management and Wireless Access (pp. 75–82). Association for Computing Machinery, Inc. https://doi.org/10.1145/3416012.3424628
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