Tong Qin | DeepAI

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∙ 05/02/2023

FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow

There is extensive literature on perceiving road structures by fusing va...

0 Wenchao Ding, et al. ∙

∙ 12/28/2022

Large-scale single-photon imaging

Benefiting from its single-photon sensitivity, single-photon avalanche d...

12 Liheng Bian, et al. ∙

∙ 06/04/2021

RoadMap: A Light-Weight Semantic Map for Visual Localization towards Autonomous Driving

Accurate localization is of crucial importance for autonomous driving ta...

0 Tong Qin, et al. ∙

∙ 07/03/2020

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

Autonomous valet parking is a specific application for autonomous vehicl...

0 Tong Qin, et al. ∙

∙ 06/02/2020

Data-driven learning of non-autonomous systems

We present a numerical framework for recovering unknown non-autonomous d...

0 Tong Qin, et al. ∙

∙ 02/11/2020

A Non-Intrusive Correction Algorithm for Classification Problems with Corrupted Data

A novel correction algorithm is proposed for multi-class classification ...

0 Jun Hou, et al. ∙

∙ 10/15/2019

A neural network approach for uncertainty quantification for time-dependent problems with random parameters

In this work we propose a numerical framework for uncertainty quantifica...

0 Tong Qin, et al. ∙

∙ 05/24/2019

Structure-preserving Method for Reconstructing Unknown Hamiltonian Systems from Trajectory Data

We present a numerical approach for approximating unknown Hamiltonian sy...

0 Kailiang Wu, et al. ∙

∙ 01/11/2019

A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors

Accurate state estimation is a fundamental problem for autonomous robots...

8 Tong Qin, et al. ∙

∙ 01/11/2019

A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors

Nowadays, more and more sensors are equipped on robots to increase robus...

0 Tong Qin, et al. ∙

∙ 11/13/2018

Data Driven Governing Equations Approximation Using Deep Neural Networks

We present a numerical framework for approximating unknown governing equ...

0 Tong Qin, et al. ∙

∙ 08/21/2018

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

A monocular 3D object tracking system generally has only up-to-scale pos...

0 Kejie Qiu, et al. ∙

∙ 08/02/2018

Online Temporal Calibration for Monocular Visual-Inertial Systems

Accurate state estimation is a fundamental module for various intelligen...

0 Tong Qin, et al. ∙

∙ 07/05/2018

Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving

We propose a stereo vision-based approach for tracking the camera ego-mo...

4 Peiliang Li, et al. ∙

∙ 05/22/2018

Reducing Parameter Space for Neural Network Training

For neural networks (NNs) with rectified linear unit (ReLU) or binary ac...

0 Tong Qin, et al. ∙

∙ 03/05/2018

Relocalization, Global Optimization and Map Merging for Monocular Visual-Inertial SLAM

The monocular visual-inertial system (VINS), which consists one camera a...

0 Tong Qin, et al. ∙