Chao Sun

Orcid: 0000-0002-9324-0892

Affiliations:
  • Beijing Institute of Technology, School of Mechanical Engineering, National Engineering Laboratory for Electric Vehicles, China (PhD 2016)


According to our database1, Chao Sun authored at least 38 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
AESF-LIO: Adaptive Error-State Fusion LiDAR-Inertial Odometry for Ground Vehicles in Structured Environments.
IEEE Robotics Autom. Lett., June, 2026

HeightFormer: Learning Height Prediction in Voxel Features for Roadside Vision Centric 3D Object Detection via Transformer.
IEEE Trans. Intell. Transp. Syst., April, 2026

PillarID: Rethinking Backbone Network Designs for Pillar-Based 3D Object Detection in Infrastructure Point Cloud.
IEEE Trans. Intell. Transp. Syst., January, 2026

Delving Into the Secrets of BEV 3D Object Detection in Autonomous Driving: A Comprehensive Survey.
IEEE Trans. Intell. Transp. Syst., January, 2026

Robo-DETR: Robustness-Aware Depth-Guided Transformer for Monocular 3-D Object Detection Under Adverse Visual Conditions.
IEEE Internet Things J., 2026

2025
Integrating Expert Knowledge and Traffic Data for Lane-Changing Intention Prediction in Autonomous Vehicles.
IEEE Robotics Autom. Lett., November, 2025

HeatV2X: Scalable Heterogeneous Collaborative Perception via Efficient Alignment and Interaction.
CoRR, November, 2025

BEVMamba: Time Sequence Dense Bird's-Eye-View Perception Modeling With State Space Model.
IEEE Trans. Intell. Transp. Syst., September, 2025

RoadMamba: A Dual Branch Visual State Space Model for Road Surface Classification.
CoRR, August, 2025

Height3D: A Roadside Visual Framework Based on Height Prediction in Real 3-D Space.
IEEE Trans. Intell. Transp. Syst., July, 2025

UT-MPC: Manifold-Based Model Predictive Control With Dynamic Weighting and Feedback for Vehicle Trajectory Tracking on Uneven Terrain.
IEEE Internet Things J., June, 2025

RoadFormer : Local-Global Feature Fusion for Road Surface Classification in Autonomous Driving.
CoRR, June, 2025

PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model.
CoRR, May, 2025

HSIGCN: Hierarchical Spatial Interaction Graph Convolutional Network Considering Group Behavior for Pedestrian Trajectory Prediction.
IEEE Internet Things J., 2025

RoadFormer: Local-Global Feature Fusion for Road Surface Classification in Autonomous Driving.
IEEE Access, 2025

2024
Convex Optimization for Long-Term Eco-Driving of Fuel Cell Hybrid Electric Vehicles on Signalized Corridors.
IEEE Trans. Veh. Technol., December, 2024

SDAGCN: Sparse Directed Attention Graph Convolutional Network for Spatial Interaction in Pedestrian Trajectory Prediction.
IEEE Internet Things J., December, 2024

SCE-LIO: An Enhanced LiDAR Inertial Odometry by Constructing Submap Constraints.
IEEE Robotics Autom. Lett., November, 2024

VMC-LIO: Incorporating Vehicle Motion Characteristics in LiDAR Inertial Odometry.
IEEE Trans. Veh. Technol., September, 2024

Interactive Left-Turning of Autonomous Vehicles at Uncontrolled Intersections.
IEEE Trans Autom. Sci. Eng., January, 2024

Semantic Scene Completion Based 3D Traversability Estimation for Off-Road Terrains.
CoRR, 2024

DeepCRE: Transforming Drug R&D via AI-Driven Cross-drug Response Evaluation.
CoRR, 2024

LaneMapNet: Lane Network Recognization and HD Map Construction Using Curve Region Aware Temporal Bird's-Eye-View Perception.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Leveraging Temporal Contexts to Enhance Vehicle-Infrastructure Cooperative Perception.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

2023
Coordinated Hierarchical Co-Optimization of Speed Planning and Energy Management for Electric Vehicles Driving in Stochastic Environment.
IEEE Trans. Veh. Technol., October, 2023

Dust concentration prediction model in thermal power plant using improved genetic algorithm.
Soft Comput., August, 2023

Automatic Targetless Calibration for LiDAR and Camera Based on Instance Segmentation.
IEEE Robotics Autom. Lett., 2023

2022
Adaptive Speed Planning of Connected and Automated Vehicles Using Multi-Light Trained Deep Reinforcement Learning.
IEEE Trans. Veh. Technol., 2022

An Eco-Driving Approach With Flow Uncertainty Tolerance for Connected Vehicles Against Waiting Queue Dynamics on Arterial Roads.
IEEE Trans. Ind. Informatics, 2022

A Fast Optimal Speed Planning System in Arterial Roads for Intelligent and Connected Vehicles.
IEEE Internet Things J., 2022

2020
Optimal Eco-Driving Control of Connected and Autonomous Vehicles Through Signalized Intersections.
IEEE Internet Things J., 2020

2019
ARIMA-Based Road Gradient and Vehicle Velocity Prediction for Hybrid Electric Vehicle Energy Management.
IEEE Trans. Veh. Technol., 2019

2018
Stochastic Model Predictive Control of Air Conditioning System for Electric Vehicles: Sensitivity Study, Comparison, and Improvement.
IEEE Trans. Ind. Informatics, 2018

Robust Optimal ECO-driving Control with Uncertain Traffic Signal Timing.
Proceedings of the 2018 Annual American Control Conference, 2018

2015
Dynamic Traffic Feedback Data Enabled Energy Management in Plug-in Hybrid Electric Vehicles.
IEEE Trans. Control. Syst. Technol., 2015

Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles.
IEEE Trans. Control. Syst. Technol., 2015

Data enabled predictive energy management of a PV-battery smart home nanogrid.
Proceedings of the American Control Conference, 2015

Integrating traffic velocity data into predictive energy management of plug-in hybrid electric vehicles.
Proceedings of the American Control Conference, 2015


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