Radar Sensing for Intelligent Vehicles in Urban Environments

Sensors

Giulio Reina²  David Johnson¹  James Underwood¹ 

[1] Australian Centre for Field Robotics, University of Sydney, Rose Street Building (J04), 2006 Sydney, Australia; E-Mails:;Department of Engineering for Innovation, University of Salento, via Arnesano, 73100 Lecce, Italy

关键词: robotic intelligent vehicles;    navigation systems;    radar sensing;    perception in urban environment;    unmanned ground vehicles;   

DOI  :  10.3390/s150614661

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.