Yihuan Zhang

Orcid: 0000-0001-6341-4057

According to our database1, Yihuan Zhang authored at least 15 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
LiDAR-based SLAM for robotic mapping: state of the art and new frontiers.
Ind. Robot, 2024

2023
PLOT: a 3D point cloud object detection network for autonomous driving.
Robotica, May, 2023

LiDAR-based SLAM for robotic mapping: state of the art and new frontiers.
CoRR, 2023

2022
An efficient LiDAR-based localization method for self-driving cars in dynamic environments.
Robotica, 2022

2021
ENCODE: a dEep poiNt Cloud ODometry nEtwork.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Measuring Similarity of Interactive Driving Behaviors Using Matrix Profile.
Proceedings of the 2020 American Control Conference, 2020

2019
MOHA: A Multi-Mode Hybrid Automaton Model for Learning Car-Following Behaviors.
IEEE Trans. Intell. Transp. Syst., 2019

Study on PD detection for GIS based on autocorrelation coefficient and similar Wavelet soft threshold.
Clust. Comput., 2019

2018
Lane-Change Intention Estimation for Car-Following Control in Autonomous Driving.
IEEE Trans. Intell. Veh., 2018

Road-Segmentation-Based Curb Detection Method for Self-Driving via a 3D-LiDAR Sensor.
IEEE Trans. Intell. Transp. Syst., 2018

A Game-Theoretical Approach to Driving Decision Making in Highway Scenarios.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017
3D-LIDAR based branch estimation and intersection location for autonomous vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Lane-change social behavior generator for autonomous driving car by non-parametric regression in Reproducing Kernel Hilbert Space.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2015
3D LIDAR-Based Intersection Recognition and Road Boundary Detection Method for Unmanned Ground Vehicle.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

A real-time curb detection and tracking method for UGVs by using a 3D-LIDAR sensor.
Proceedings of the 2015 IEEE Conference on Control Applications, 2015


  Loading...