Abstract
The paper presents review of key aspects associated with object detection and tracking algorithms in sensing systems for automotive applications covering active safety, advanced driver assistance and autonomous driving systems. The role of discussed systems is to establish location and monitor relative movement of objects and environment with main focus on identification of vulnerable road users. The object detection algorithms allow to classify and differentiate both static and dynamic objects in the vehicle’s surrounding. The analysis will be focused on selection of most suitable platform for development of optimized and safe vulnerable road user detection system.
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© 2017 Springer International Publishing AG
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Markiewicz, P., Długosz, M., Skruch, P. (2017). Review of tracking and object detection systems for advanced driver assistance and autonomous driving applications with focus on vulnerable road users sensing. In: Mitkowski, W., Kacprzyk, J., Oprzędkiewicz, K., Skruch, P. (eds) Trends in Advanced Intelligent Control, Optimization and Automation. KKA 2017. Advances in Intelligent Systems and Computing, vol 577. Springer, Cham. https://doi.org/10.1007/978-3-319-60699-6_22
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DOI: https://doi.org/10.1007/978-3-319-60699-6_22
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-60699-6
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