You Li

Orcid: 0000-0003-3853-1918

Affiliations:
  • RENAULT S.A.S., Guyancourt, France
  • Université de technologie de Belfort-Montbéliard, France (PhD 2013)


According to our database1, You Li authored at least 23 papers between 2011 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Emergent Visual Sensors for Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., May, 2023

2022
Performance Modeling a Near-Infrared ToF LiDAR Under Fog: A Data-Driven Approach.
IEEE Trans. Intell. Transp. Syst., 2022

Unconventional Visual Sensors for Autonomous Vehicles.
CoRR, 2022

3D ToF LiDAR in Mobile Robotics: A Review.
CoRR, 2022

2021
What Happens for a ToF LiDAR in Fog?
IEEE Trans. Intell. Transp. Syst., 2021

Fusion of neural networks, for LIDAR-based evidential road mapping.
J. Field Robotics, 2021

Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020
Coarse-to-Fine Segmentation on LiDAR Point Clouds in Spherical Coordinate and Beyond.
IEEE Trans. Veh. Technol., 2020

Lidar for Autonomous Driving: The Principles, Challenges, and Trends for Automotive Lidar and Perception Systems.
IEEE Signal Process. Mag., 2020

InsClustering: Instantly Clustering LiDAR Range Measures for Autonomous Vehicle.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

LaNoising: A Data-driven Approach for 903nm ToF LiDAR Performance Modeling under Fog.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Evidential deep learning for arbitrary LIDAR object classification in the context of autonomous driving.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Disparity weighted loss for semantic segmentation of driving scenes.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Evidential grid mapping, from asynchronous LIDAR scans and RGB images, for autonomous driving.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Improving semantic segmentation in urban scenes with a cartographic information.
Proceedings of the 15th International Conference on Control, 2018

2014
Occupancy Grid Mapping in Urban Environments from a Moving On-Board Stereo-Vision System.
Sensors, 2014

2013
Stereo vision and LIDAR based Dynamic Occupancy Grid mapping : Application to scenes analysis for Intelligent Vehicles. (Cartographie dynamique occupation grille basée sur la vision stéréo et LIDAR : Application à l'analyse de scènes pour les véhicules intelligents).
PhD thesis, 2013

Optimal Extrinsic Calibration Between a Stereoscopic System and a LIDAR.
IEEE Trans. Instrum. Meas., 2013

Building variable resolution occupancy grid map from stereoscopic system - A quadtree based approach.
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Observing Dynamic Urban Environment through Stereo-Vision Based Dynamic Occupancy Grid Mapping.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

2012
Extrinsic calibration between a stereoscopic system and a LIDAR with sensor noise models.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2012

Moving objects detection and recognition using sparse spatial information in urban environments.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

2011
3D triangulation based extrinsic calibration between a stereo vision system and a LIDAR.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011


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