Meiping Shi

According to our database1, Meiping Shi authored at least 14 papers between 2008 and 2023.

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

Timeline

Legend:

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Links

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Bibliography

2023
Multi-Modal Object Tracking with Vision-Language Adaptive Fusion and Alignment.
Proceedings of the 5th International Conference on Robotics, 2023

Road Grid Segmentation in Desert with Geometry and Appearance Features.
Proceedings of the 5th International Conference on Robotics, 2023

2022
Cross-modal Fusion-based Prior Correction for Road Detection in Off-road Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Data-driven Kalman Filter with Kernel-based Koopman Operators for Nonlinear Robot Systems.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

A Two-Stage Domain Adaptation Approach Based on Contrastive Learning and Unsupervised Semantic Segmentation.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

DirectionNet: Road Main Direction Estimation for Autonomous Vehicles from LiDAR Point Clouds.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

Dynamic Target Following Control for Autonomous Vehicles with Deep Reinforcement Learning.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

2020
PORF-DDPG: Learning Personalized Autonomous Driving Behavior with Progressively Optimized Reward Function.
Sensors, 2020

2015
An Efficient Calibration Approach for Arbitrary Equipped 3-D LiDAR Based on an Orthogonal Normal Vector Pair.
J. Intell. Robotic Syst., 2015

2014
Road Detection Based on Off-Line and On-Line Learning.
Proceedings of the 14th IEEE International Conference on Computer and Information Technology, 2014

2011
Research on Fast Image Mosaic Based on CUDA.
Proceedings of the 4th International Symposium on Computational Intelligence and Design, 2011

2009
A Method for Surface Reconstruction Based on Support Vector Machine.
J. Comput., 2009

A Method of Fast and Robust for Traffic Sign Recognition.
Proceedings of the Fifth International Conference on Image and Graphics, 2009

2008
A Method for Surface Reconstruction from Cloud Points Based on Segmented Support Vector Machine.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008


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