This figure illustrates outputs of state-of-the-art perception algorithms in an urban scene near Nagoya University, with camera and lidar data collected by our experiment...
Abstract:
Automated driving systems (ADSs) promise a safe, comfortable and efficient driving experience. However, fatalities involving vehicles equipped with ADSs are on the rise. ...Show MoreMetadata
Abstract:
Automated driving systems (ADSs) promise a safe, comfortable and efficient driving experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The full potential of ADSs cannot be realized unless the robustness of state-of-the-art is improved further. This paper discusses unsolved problems and surveys the technical aspect of automated driving. Studies regarding present challenges, high-level system architectures, emerging methodologies and core functions including localization, mapping, perception, planning, and human machine interfaces, were thoroughly reviewed. Furthermore, many state-of-the-art algorithms were implemented and compared on our own platform in a real-world driving setting. The paper concludes with an overview of available datasets and tools for ADS development.
This figure illustrates outputs of state-of-the-art perception algorithms in an urban scene near Nagoya University, with camera and lidar data collected by our experiment...
Published in: IEEE Access ( Volume: 8)
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