Toward Reliable Off Road Autonomous Vehicles Operating in Challenging Environments
International Journal of Robotics Research
Autonomous driving in urban environments: Boss and the Urban Challenge
Journal of Field Robotics - Special Issue on the 2007 DARPA Urban Challenge, Part I
The New College Vision and Laser Data Set
International Journal of Robotics Research
Error modeling and calibration of exteroceptive sensors for accurate mapping applications
Journal of Field Robotics - Three-Dimensional Mapping, Part 3
Towards reliable perception for unmanned ground vehicles in challenging conditions
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Short-range radar perception in outdoor environments
TAROS'11 Proceedings of the 12th Annual conference on Towards autonomous robotic systems
Visual metrics for the evaluation of sensor data quality in outdoor perception
Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop
Self-learning classification of radar features for scene understanding
Robotics and Autonomous Systems
Moving object detection with laser scanners
Journal of Field Robotics
Challenging data sets for point cloud registration algorithms
International Journal of Robotics Research
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In this paper we present large, accurately calibrated and time-synchronized data sets, gathered outdoors in controlled and variable environmental conditions, using an unmanned ground vehicle (UGV), equipped with a wide variety of sensors. These include four 2D laser scanners, a radar scanner, a color camera and an infrared camera. It provides a full description of the system used for data collection and the types of environments and conditions in which these data sets have been gathered, which include the presence of airborne dust, smoke and rain.