4.7k citations · 5.3k across the 11 of their papers we have counts for
6 papers · 1 filter
PLGSLAM: Progressive Neural Scene Represenation with Local to Global Bundle Adjustment
Tianchen Deng, Guole Shen, Tong Qin +5
Neural implicit scene representations have recently shown encouraging results in dense visual SLAM. However, existing methods produce low-quality scene reconstruction and low-accur…
A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors
Tong Qin, Shaozu Cao, Jie Pan +1
Accurate state estimation is a fundamental problem for autonomous robots. To achieve locally accurate and globally drift-free state estimation, multiple sensors with complementary…
A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors
Tong Qin, Jie Pan, Shaozu Cao +1
Nowadays, more and more sensors are equipped on robots to increase robustness and autonomous ability. We have seen various sensor suites equipped on different platforms, such as st…
Online Temporal Calibration for Monocular Visual-Inertial Systems
Tong Qin, Shaojie Shen
Accurate state estimation is a fundamental module for various intelligent applications, such as robot navigation, autonomous driving, virtual and augmented reality. Visual and iner…
Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving
Peiliang Li, Tong Qin, Shaojie Shen
We propose a stereo vision-based approach for tracking the camera ego-motion and 3D semantic objects in dynamic autonomous driving scenarios. Instead of directly regressing the 3D…
Relocalization, Global Optimization and Map Merging for Monocular Visual-Inertial SLAM
Tong Qin, Perliang Li, Shaojie Shen
The monocular visual-inertial system (VINS), which consists one camera and one low-cost inertial measurement unit (IMU), is a popular approach to achieve accurate 6-DOF state estim…