MuCaSLAM: CNN-Based Frame Quality Assessment for Mobile Robot with Omnidirectional Visual SLAM.
2022 IEEE 18TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE)（2022）
Key words
robustly switching,feature-poor streams,CNN-based frame quality assessment,mobile robot,omnidirectional visual,computational efficiency,visual SLAM algorithms,multiple cameras,limited computational power,SLAM pipeline,ResNet18-based neural network,robot localization,subsequent frame,good keypoints,optimal images,ORB-SLAM2,SLAM algorithm,operation time state,6 times faster compared,feature matcher,30 times faster,network evaluation
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined