Gaussian-Process-Based Real-Time Ground Segmentation for Autonomous Land Vehicles

Tongtong Chen; Bin Dai; Ruili Wang; Daxue Liu

doi:10.1007/s10846-013-9889-4

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Gaussian-Process-Based Real-Time Ground Segmentation for Autonomous Land Vehicles

Tongtong Chen Bin Dai Ruili Wang Daxue Liu

Year: 2013 Journal: Journal of Intelligent & Robotic Systems Vol: 76 (3-4)Pages: 563-582 Publisher: Springer Science+Business Media

DOI: 10.1007/s10846-013-9889-4

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Keywords:

Segmentation Terrain Artificial intelligence Computer science Process (computing) Gaussian process Computer vision Centroid Pattern recognition (psychology) Gaussian Geography Cartography

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Topics

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Robotic Path Planning Algorithms

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Gaussian-Process-Based Real-Time Ground Segmentation for Autonomous Land Vehicles

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Citation History

Topics

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