| 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 | 869 | 2020 |
| What happens for a ToF LiDAR in fog? Y Li, P Duthon, M Colomb, J Ibanez-Guzman IEEE Transactions on Intelligent Transportation Systems, 2020 | 131 | 2020 |
| 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 | 59 | 2013 |
| Occupancy Grid Mapping in Urban Environments from a Moving On-Board Stereo-Vision System Y Li, Y Ruichek sensors 14 (6), 10454-10478, 2014 | 56 | 2014 |
| 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 | 49 | 2022 |
| 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 | 44 | 2019 |
| 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 | 40 | 2011 |
| Emergent Visual Sensors for Autonomous Vehicles Y Li, J Moreau, J Ibanez-Guzman IEEE Transactions on Intelligent Transportation Systems 24, 4716 - 4737, 2022 | 39 | 2022 |
| 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 | 32 | 2021 |
| 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 | 28 | 2021 |
| 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 | 28 | 2020 |
| 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 | 27 | 2015 |
| 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 | 21 | 2013 |
| 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 | 20 | 2010 |
| 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 | 19 | 2013 |
| 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 | 18 | 2018 |
| 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 | 11 | 2020 |
| 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 | 11 | 2020 |
| 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 | 10 | 2012 |
| Moving Objects Detection and Recognition Using Sparse Spacial Information in Urban Environments Y Li, Y Ruichek IEEE Intelligent Vehicles Symposium (IVS), 1060 - 1065, 2012 | 8 | 2012 |
Javier Ibanez-GuzmanRenault S.A.Zweryfikowany adres z Renault.com