赵卉菁

2026

FALCO: Foundation Model Guided Active Learning for Cost-Effective Off-Road Freespace Detection

Proceedings - IEEE International Conference on Robotics and Automation/Proceedings

DOI

2025

TerraX: Visual Terrain Classification Enhanced by Vision-Language Models

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

DOI

2025

How to Enhance the Interpretability of Learning-Based Motion Planning for Intelligent Vehicles—A Survey

IEEE Transactions on Intelligent Transportation Systems

DOI

2023

Joint Imitation Learning of Behavior Decision and Control for Autonomous Intersection Navigation

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

DOI

2023

Incorporating Driving Knowledge in Deep Learning Based Vehicle Trajectory Prediction: A Survey

IEEE Transactions on Intelligent Vehicles

DOI

2023

Learning Autonomous Control Policy for Intersection Navigation With Pedestrian Interaction

IEEE Transactions on Intelligent Vehicles

DOI

2022

面向异构履带车辆的统一运动规划方法

《兵工学报》

2021

Multi-Vehicle Coordinated Motion Planning Based on Interactive Primitive Tree

IEEE International Conference on Unmanned Systems (ICUS)

DOI

2020

Cross Scene Prediction via Modeling Dynamic Correlation using Latent Space Shared Auto-Encoders

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

DOI

2020

SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances

IEEE Intelligent Vehicles Symposium

DOI

2019

基于相机与摇摆激光雷达融合的非结构化环境定位

《自动化学报》

DOI

2019

Incorporating Human Domain Knowledge in 3-D LiDAR-Based Semantic Segmentation

IEEE Transactions on Intelligent Vehicles

DOI

2019

Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-Supervised Learning

IEEE Transactions on Intelligent Transportation Systems

DOI

2019

Camera and LiDAR Fusion for On-road Vehicle Tracking with Reinforcement Learning

IEEE Intelligent Vehicles Symposium

DOI

2019

Supervised Learning for Semantic Segmentation of 3D LiDAR Data

IEEE Intelligent Vehicles Symposium

DOI

2019

Learning Scene Adaptive Covariance Error Model of LiDAR Scan Matching for Fusion Based Localization

IEEE Intelligent Vehicles Symposium

DOI

2019

Learning Scene Adaptive Covariance Error Model of LiDAR Scan Matching for Fusion Based Localization.

IV

2017

基于道路结构特征的智能车单目视觉定位

《自动化学报》

DOI

2017

Scene-Adaptive Off-Road Detection Using a Monocular Camera

IEEE Transactions on Intelligent Transportation Systems

DOI

2017

On-road vehicle tracking using part-based particle filter

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

DOI

2015

结合机器人挑战赛的专业建设与实践教学

《计算机教育》

2014

Monocular visual localization using road structural features

IEEE Intelligent Vehicles Symposium

DOI

2013

Pairwise LIDAR calibration using multi-type 3D geometric features in natural scene

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

DOI

2013

Head pose based intention prediction using Discrete Dynamic Bayesian Network

International Conference on Distributed Smart Cameras

DOI

2012

A real-time motion planner with trajectory optimization for autonomous vehicles

Proceedings - IEEE International Conference on Robotics and Automation/Proceedings

DOI

2011

Detection and Tracking of Moving Objects at Intersections Using a Network of Laser Scanners

IEEE Transactions on Intelligent Transportation Systems

DOI

2009

基于分布式激光扫描仪的交叉路口交通数据采集与分析

《公路交通科技》

2009

A Laser-Scanner-Based Approach Toward Driving Safety and Traffic Data Collection

IEEE Transactions on Intelligent Transportation Systems

DOI

2008

Monitoring an intersection using a network of laser scanners

IEEE International Conference on Intelligent Transportation Systems (ITSC)

DOI

2014

Automatic Lane Change Data Extraction from Car Data Sequence(Extended Abstract)

Proceedings of 17th International IEEE Conference on Intelligent Transportation Systems Ⅰ

2014

Online Stereovision Calibration Using On-road Markings

Proceedings of 17th International IEEE Conference on Intelligent Transportation Systems Ⅰ

2011

基于多激光传感器的交叉路口移动目标轨迹分析

《第六届中国智能交通年会暨第七届国际节能与新能源汽车创新发展论坛优秀论文集（上册）——智能交通》

2011

基于机器人运动规划的城市道路环境微观交通仿真

《第六届中国智能交通年会暨第七届国际节能与新能源汽车创新发展论坛优秀论文集（上册）——智能交通》

2009

基于垂直激光扫描的客流量检测系统与算法

《第五届中国智能交通年会暨第六届国际节能与新能源汽车创新发展论坛优秀论文集（上册）——智能交通》

2026

Unified Driving Tokens: Representation- and Geometry-Guided Discrete Tokenizer for Driving World Models and Planning

arXiv (Cornell University)

DOI

2025

LagMemo: Language 3D Gaussian Splatting Memory for Multi-modal Open-vocabulary Multi-goal Visual Navigation

arXiv preprint

2024

Critical Example Mining for Vehicle Trajectory Prediction using Flow-based Generative Models

arXiv preprint

2022

Multi-Task Conditional Imitation Learning for Autonomous Navigation at Crowded Intersections

arXiv preprint

2022

Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data

arXiv preprint

2022

An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation

arXiv preprint

2021

An Image-based Approach of Task-driven Driving Scene Categorization

arXiv preprint

2021

A Survey of Deep RL and IL for Autonomous Driving Policy Learning

arXiv preprint

DOI

2021

Fine-Grained Off-Road Semantic Segmentation and Mapping via Contrastive Learning

arXiv preprint

2020

Driver Identification through Stochastic Multi-State Car-Following Modeling

arXiv preprint

2020

Scene Context Based Semantic Segmentation for 3D LiDAR Data in Dynamic Scene

arXiv (Cornell University)

DOI

2020

Off-Road Drivable Area Extraction Using 3D LiDAR Data

arXiv (Cornell University)

DOI

2020

Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving

arXiv preprint

2020

Scene-Aware Error Modeling of LiDAR/Visual Odometry for Fusion-based Vehicle Localization

arXiv preprint

2020

Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study

arXiv preprint

2019

Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning

arXiv preprint

DOI