Visual-lidar odometry and mapping: Low-drift, robust, and fast

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 2015-June, Issue June, 2015, Pages 2174-2181

  Zhang, Ji ^a   Singh, Sanjiv ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL ROBOTS; COMPUTER VISION; OPTICAL RADAR; ROBOTICS; VISION;

AMBIENT LIGHTING; FIRST PRINCIPLE METHOD; HIGH FREQUENCY HF; POINT CLOUD REGISTRATION; RELATIVE POSITIONS; STATE OF THE ART; VISUAL FEATURE; VISUAL ODOMETRY;

MOTION ESTIMATION;

EID: 84938220039     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2015.7139486     Document Type: Conference Paper

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