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Diverse Traversability Mapping Using Hybrid Vision System for Lunar Rover

Diverse Traversability Mapping Using Hybrid Vision System for Lunar Rover
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摘要 Autonomous functions including mapping and path planning are very important to ensure effcient exploration and safe navigation of unmanned rover. Conventional navigation schemes based on equipments such as GPS and magnetic sensors have been proven to be ineffective on lunar surface,while sophisticated dead reckoning approach lacks accuracy in loose soil due to slippage. In this paper,we propose a hybrid vision system(HVS) which consists of one stereo and one omnidirectional vision sensor,attempting to integrate the advantages of diverse vision systems. The hierarchical mapping reconstructs environment through HVS in different resolutions and structures,named qualitative,rough and detailed map. These maps are employed for path planning which navigates the rover towards specified destinations autonomously,avoiding obstacles in its way. The HVS aims at providing more effcient and safe navigation. Simulations and experiments demonstrate the functionality and advantage of our approach. Autonomous functions including mapping and path planning are very important to ensure efficient exploration and safe navigation of unmanned rover. Conventional navigation schemes based on equipments such as GPS and magnetic sensors have been proven to be ineffective on lunar surface, while sophisticated dead reckoning approach lacks accuracy in loose soil due to slippage. In this paper, we propose a hybrid vision system (HVS) which consists of one stereo and one omnidirectional vision sensor, attempting to integrate the advantages of diverse vision systems. The hierarchical mapping reconstructs environment through HVS in different resolutions and structures, named qualitative, rough and detailed map. These maps are employed for path planning which navigates the rover towards specified destinations autonomously, avoiding obstacles in its way. The HVS aims at providing more efficient and safe navigation. Simulations and experiments demonstrate the functionality and advantage of our approach.
机构地区 Robotics Institute
出处 《Journal of Shanghai Jiaotong university(Science)》 EI 2010年第6期749-755,共7页 上海交通大学学报(英文版)
基金 the Development Fund for Primary Projects of China's Ministry of Education (No. 708035)
关键词 autonomous navigation machine vision MAPPING traversability assessment autonomous navigation, machine vision, mapping, traversability assessment
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参考文献19

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