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Environment perception based on LIDAR sensors for real road applications

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URI: https://hdl.handle.net/10016/17598
ISSN: 0263-5747 (print)
ISSN: 1469-8668 (online)
DOI: 10.1017/S0263574711000270
UXXI: AR/0000009805
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environment_ROBOTICA_2012.pdf (1.29 MB)
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2012-05
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Cambridge University Press
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The recent developments in applications that have been designed to increase road safety require reliable and trustworthy sensors. Keeping this in mind, the most up-to-date research in the field of automotive technologies has shown that LIDARs are a very reliable sensor family. In this paper, a new approach to road obstacle classification is proposed and tested. Two different LIDAR sensors are compared by focusing on their main characteristics with respect to road applications. The viability of these sensors in real applications has been tested, where the results of this analysis are presented.The recent developments in applications that have been designed to increase road safety require reliable and trustworthy sensors. Keeping this in mind, the most up-to-date research in the field of automotive technologies has shown that LIDARs are a very reliable sensor family. In this paper, a new approach to road obstacle classification is proposed and tested. Two different LIDAR sensors are compared by focusing on their main characteristics with respect to road applications. The viability of these sensors in real applications has been tested, where the results of this analysis are presented.
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Data fusion, Intelligent vehicles, ADAS, LIDAR, Advanced Driver Assistance Systems
Bibliographic citation
Robotica, vol. 30, issue 2 (March 2012), pp. 185-193
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