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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...
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12/28/2022
Large-scale single-photon imaging
Benefiting from its single-photon sensitivity, single-photon avalanche d...
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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...
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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...
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06/02/2020
Data-driven learning of non-autonomous systems
We present a numerical framework for recovering unknown non-autonomous d...
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02/11/2020
A Non-Intrusive Correction Algorithm for Classification Problems with Corrupted Data
A novel correction algorithm is proposed for multi-class classification ...
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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...
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05/24/2019
Structure-preserving Method for Reconstructing Unknown Hamiltonian Systems from Trajectory Data
We present a numerical approach for approximating unknown Hamiltonian sy...
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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...
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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...
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11/13/2018
Data Driven Governing Equations Approximation Using Deep Neural Networks
We present a numerical framework for approximating unknown governing equ...
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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...
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08/02/2018
Online Temporal Calibration for Monocular Visual-Inertial Systems
Accurate state estimation is a fundamental module for various intelligen...
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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...
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05/22/2018
Reducing Parameter Space for Neural Network Training
For neural networks (NNs) with rectified linear unit (ReLU) or binary ac...
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03/05/2018
