Picture for Li Qingqing

Li Qingqing

Robust Multi-Modal Multi-LiDAR-Inertial Odometry and Mapping for Indoor Environments

Add code
Mar 05, 2023
Viaarxiv icon

A Benchmark for Multi-Modal Lidar SLAM with Ground Truth in GNSS-Denied Environments

Add code
Oct 03, 2022
Figure 1 for A Benchmark for Multi-Modal Lidar SLAM with Ground Truth in GNSS-Denied Environments
Figure 2 for A Benchmark for Multi-Modal Lidar SLAM with Ground Truth in GNSS-Denied Environments
Figure 3 for A Benchmark for Multi-Modal Lidar SLAM with Ground Truth in GNSS-Denied Environments
Figure 4 for A Benchmark for Multi-Modal Lidar SLAM with Ground Truth in GNSS-Denied Environments
Viaarxiv icon

Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots

Add code
Apr 01, 2021
Figure 1 for Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots
Figure 2 for Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots
Figure 3 for Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots
Figure 4 for Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots
Viaarxiv icon

Multi Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments

Add code
Mar 25, 2021
Figure 1 for Multi Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments
Figure 2 for Multi Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments
Figure 3 for Multi Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments
Figure 4 for Multi Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments
Viaarxiv icon

Adaptive Lidar Scan Frame Integration: Tracking Known MAVs in 3D Point Clouds

Add code
Mar 06, 2021
Figure 1 for Adaptive Lidar Scan Frame Integration: Tracking Known MAVs in 3D Point Clouds
Figure 2 for Adaptive Lidar Scan Frame Integration: Tracking Known MAVs in 3D Point Clouds
Figure 3 for Adaptive Lidar Scan Frame Integration: Tracking Known MAVs in 3D Point Clouds
Figure 4 for Adaptive Lidar Scan Frame Integration: Tracking Known MAVs in 3D Point Clouds
Viaarxiv icon

VIO-UWB-Based Collaborative Localization and Dense Scene Reconstruction within Heterogeneous Multi-Robot Systems

Add code
Nov 02, 2020
Figure 1 for VIO-UWB-Based Collaborative Localization and Dense Scene Reconstruction within Heterogeneous Multi-Robot Systems
Figure 2 for VIO-UWB-Based Collaborative Localization and Dense Scene Reconstruction within Heterogeneous Multi-Robot Systems
Figure 3 for VIO-UWB-Based Collaborative Localization and Dense Scene Reconstruction within Heterogeneous Multi-Robot Systems
Figure 4 for VIO-UWB-Based Collaborative Localization and Dense Scene Reconstruction within Heterogeneous Multi-Robot Systems
Viaarxiv icon

Secure Encoded Instruction Graphs for End-to-End Data Validation in Autonomous Robots

Add code
Sep 02, 2020
Figure 1 for Secure Encoded Instruction Graphs for End-to-End Data Validation in Autonomous Robots
Figure 2 for Secure Encoded Instruction Graphs for End-to-End Data Validation in Autonomous Robots
Figure 3 for Secure Encoded Instruction Graphs for End-to-End Data Validation in Autonomous Robots
Figure 4 for Secure Encoded Instruction Graphs for End-to-End Data Validation in Autonomous Robots
Viaarxiv icon

Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning

Add code
Aug 18, 2020
Figure 1 for Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning
Figure 2 for Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning
Figure 3 for Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning
Figure 4 for Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning
Viaarxiv icon

Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces

Add code
Aug 18, 2020
Figure 1 for Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces
Figure 2 for Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces
Figure 3 for Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces
Viaarxiv icon

End-to-End Design for Self-Reconfigurable Heterogeneous Robotic Swarms

Add code
Apr 29, 2020
Figure 1 for End-to-End Design for Self-Reconfigurable Heterogeneous Robotic Swarms
Figure 2 for End-to-End Design for Self-Reconfigurable Heterogeneous Robotic Swarms
Figure 3 for End-to-End Design for Self-Reconfigurable Heterogeneous Robotic Swarms
Viaarxiv icon