activity
20182020
most citedA General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors

296 citations · 512 across the 3 of their papers we have counts for

collaborators

7 papers

cs.RO202011 cited

AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking Lot

Tong Qin, Tongqing Chen, Yilun Chen +1

Autonomous valet parking is a specific application for autonomous vehicles. In this task, vehicles need to navigate in narrow, crowded and GPS-denied parking lots. Accurate localiz…

cs.CV2019205 cited

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…

cs.CV2019296 cited

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…

cs.RO2018

Estimating Metric Poses of Dynamic Objects Using Monocular Visual-Inertial Fusion

Kejie Qiu, Tong Qin, Hongwen Xie +1

A monocular 3D object tracking system generally has only up-to-scale pose estimation results without any prior knowledge of the tracked object. In this paper, we propose a novel id…

cs.CV2018

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…

cs.CV2018

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…