Radar Sensing for Intelligent Vehicles in Urban Environments
Open Access
- 18 June 2015
- Vol. 15 (6), 14661-14678
- https://doi.org/10.3390/s150614661
Abstract
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.Keywords
This publication has 20 references indexed in Scilit:
- Terrain traversability analysis methods for unmanned ground vehicles: A surveyEngineering Applications of Artificial Intelligence, 2013
- Self-learning classification of radar features for scene understandingRobotics and Autonomous Systems, 2012
- Radar‐based perception for autonomous outdoor vehiclesJournal of Field Robotics, 2011
- The Marulan Data Sets: Multi-sensor Perception in a Natural Environment with Challenging ConditionsThe International Journal of Robotics Research, 2010
- Robotic Mapping Using Measurement Likelihood FilteringThe International Journal of Robotics Research, 2009
- Learning long‐range vision for autonomous off‐road drivingJournal of Field Robotics, 2009
- Seeing through dust and water vapor: Millimeter wave radar sensors for mining applicationsJournal of Field Robotics, 2007
- Natural terrain classification using three‐dimensional ladar data for ground robot mobilityJournal of Field Robotics, 2006
- An algorithm for detecting roads and obstacles in radar imagesIEEE Transactions on Vehicular Technology, 2001
- An Autonomous Guided Vehicle for Cargo Handling ApplicationsThe International Journal of Robotics Research, 1996