Robotics and Computer Vision Lab
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Weinan Chen
Latest
Cloud-edge Collaborative Submap-based VSLAM using Implicit Representation Transmission
Cloud Learning-based Meets Edge Model-based: Robots Don't Need to Build All the Submaps dItself
Condition-invariant and compact visual place description by convolutional autoencoder
Rumination Meets VSLAM: You Do Not Need to Build All the Submaps in Realtime
Keyframe Selection with Information Occupancy Grid Model for Long-term Data Association
Relationship Oriented Semantic Scene Understanding for Daily Manipulation Tasks
Dynamic strategy of keyframe selection with pd controller for vslam systems
Mapping While Following: 2D LiDAR SLAM in Indoor Dynamic Environments with a Person Tracker
Robust Improvement in 3D Object Landmark Inference for Semantic Mapping
Robustness improvement of using pre-trained network in visual odometry for on-road driving
Ceb-map: Visual localization error prediction for safe navigation
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