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Sensors 2015, 15(6), 14661-14678;

Radar Sensing for Intelligent Vehicles in Urban Environments

Department of Engineering for Innovation, University of Salento, via Arnesano, 73100 Lecce, Italy
Australian Centre for Field Robotics, University of Sydney, Rose Street Building (J04), 2006 Sydney, Australia
Author to whom correspondence should be addressed.
Academic Editor: Felipe Jimenez
Received: 17 February 2015 / Revised: 11 June 2015 / Accepted: 12 June 2015 / Published: 19 June 2015
(This article belongs to the Special Issue Sensors in New Road Vehicles)
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Radar overcomes the shortcomings of laser, stereovision, and sonar because it can operate successfully in dusty, foggy, blizzard-blinding, and poorly lit scenarios. This paper presents a novel method for ground and obstacle segmentation based on radar sensing. The algorithm operates directly in the sensor frame, without the need for a separate synchronised navigation source, calibration parameters describing the location of the radar in the vehicle frame, or the geometric restrictions made in the previous main method in the field. Experimental results are presented in various urban scenarios to validate this approach, showing its potential applicability for advanced driving assistance systems and autonomous vehicle operations. View Full-Text
Keywords: robotic intelligent vehicles; navigation systems; radar sensing; perception in urban environment; unmanned ground vehicles robotic intelligent vehicles; navigation systems; radar sensing; perception in urban environment; unmanned ground vehicles

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Reina, G.; Johnson, D.; Underwood, J. Radar Sensing for Intelligent Vehicles in Urban Environments. Sensors 2015, 15, 14661-14678.

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