Seuraa
You Li
You Li
Senior R&D Engineer in Embotech
Vahvistettu sähköpostiosoite verkkotunnuksessa embotech.com
Nimike
Viittaukset
Viittaukset
Vuosi
Lidar for Autonomous Driving: The Principles, Challenges, and Trends for Automotive Lidar and Perception Systems
Y Li, J Ibanez-Guzman
IEEE Signal Processing Magazine 37 (4), 50 - 61, 2020
8732020
What happens for a ToF LiDAR in fog?
Y Li, P Duthon, M Colomb, J Ibanez-Guzman
IEEE Transactions on Intelligent Transportation Systems, 2020
1322020
Optimal Extrinsic Calibration Between a Stereoscopic System and a LIDAR
Y Li, Y Ruichek, C Cappelle
IEEE Transactions on Instrumentation and Measurement 62, 2258 - 2269, 2013
592013
Occupancy Grid Mapping in Urban Environments from a Moving On-Board Stereo-Vision System
Y Li, Y Ruichek
sensors 14 (6), 10454-10478, 2014
562014
3D ToF LiDAR in Mobile Robotics: A Review
T Yang, Y Li, C Zhao, D Yao, G Chen, L Sun, T Krajnik, Z Yan.
arXiv:2202.11025 [cs.RO], 2022
512022
Evidential deep learning for arbitrary LIDAR object classification in the context of autonomous driving
E Capellier, F Davoine, V Cherfaoui, Y Li
2019 IEEE Intelligent Vehicles Symposium (IV), 2019
442019
Emergent Visual Sensors for Autonomous Vehicles
Y Li, J Moreau, J Ibanez-Guzman
IEEE Transactions on Intelligent Transportation Systems 24, 4716 - 4737, 2022
412022
3D triangulation based extrinsic calibration between a stereo vision system and a LIDAR
Y Li, R Yassine, C Cappelle
2011 14th International IEEE Conference on Intelligent Transportation …, 2011
412011
Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning
A Loukkal, Y Grandvalet, T Drummond, Y Li
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021
322021
LaNoising: A Data-driven Approach for 903nm ToF LiDAR Performance Modeling under Fog
T Yang, Y Li, Y Ruichek, Z Yan
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
292020
Performance Modeling a Near-Infrared ToF LiDAR Under Fog: A Data-Driven Approach
T Yang, Y Li, Y Ruichek, Z Yan
IEEE Transactions on Intelligent Transportation Systems, 2021
282021
Multiframe-Based High Dynamic Range Monocular Vision System for Advanced Driver Assistance Systems
Y Li, Q Yongliang, Y Ruichek
IEEE Sensors Journal 15, 5433-5441, 2015
282015
Stereo vision and Lidar based dynamic occupancy grid mapping: Application to scenes analysis for intelligent vehicles
Y Li
University of Technology of Belfort Montbeliard, 2013
212013
Automatic Weak Calibration of Master- Slave Surveillance System based on Mosaic Image
L You, S Li, W Jia
in 20th International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, 2010
202010
Evidential grid mapping, from asynchronous LIDAR scans and RGB images, for autonomous driving
E Capellier, F Davoine, V Frémont, J Ibanez-Guzman, Y Li
2018 21st International Conference on Intelligent Transportation Systems …, 2018
192018
Building Variable Resolution Occupancy Grid Map from Stereoscopic System - a Quadtree based Approach
Y Li, Y Ruichek
IEEE Intelligent Vehicles Symposium (IVS), 744 - 749, 2013
182013
InsClustering: Instantly Clustering LiDAR Range Measures for Autonomous Vehicle
Y Li, C Lebihan, T Pourtau, T Ristorcelli
2020 IEEE International Conference on Intelligent Transportation Systems(ITSC), 2020
122020
Coarse-to-fine Segmentation on LiDAR Point Clouds in Spherical Coordinate and Beyond
Y Li, C Le Bihan, T Pourtau, T Ristorcelli, J Ibanez-Guzman
IEEE Transactions on Vehicular Technology 69, 14588 - 14601, 2020
112020
Extrinsic Calibration between a Stereoscopic System and a Lidar with Sensor Noise Models
Y Li, Y Ruichek, C Cappelle
IEEE Conference on Multisensor Fusion and Information Integration (MFI), 484 …, 2012
102012
Moving Objects Detection and Recognition Using Sparse Spacial Information in Urban Environments
Y Li, Y Ruichek
IEEE Intelligent Vehicles Symposium (IVS), 1060 - 1065, 2012
92012
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20