692 citations · 713 across the 7 of their papers we have counts for
7 papers
Emergent Visual Sensors for Autonomous Vehicles
You Li, Julien Moreau, Javier Ibanez-Guzman
Autonomous vehicles rely on perception systems to understand their surroundings for further navigation missions. Cameras are essential for perception systems due to the advantages…
3D ToF LiDAR in Mobile Robotics: A Review
Tao Yang, You Li, Cheng Zhao +5
In the past ten years, the use of 3D Time-of-Flight (ToF) LiDARs in mobile robotics has grown rapidly. Based on our accumulation of relevant research, this article systematically r…
Fusion of neural networks, for LIDAR-based evidential road mapping
Edouard Capellier, Franck Davoine, Veronique Cherfaoui +1
LIDAR sensors are usually used to provide autonomous vehicles with 3D representations of their environment. In ideal conditions, geometrical models could detect the road in LIDAR s…
InsClustering: Instantly Clustering LiDAR Range Measures for Autonomous Vehicle
You Li, Clément Le Bihan, Txomin Pourtau +1
LiDARs are usually more accurate than cameras in distance measuring. Hence, there is strong interest to apply LiDARs in autonomous driving. Different existing approaches process th…
Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning
Abdelhak Loukkal, Yves Grandvalet, Tom Drummond +1
Camera-based end-to-end driving neural networks bring the promise of a low-cost system that maps camera images to driving control commands. These networks are appealing because the…
Lidar for Autonomous Driving: The principles, challenges, and trends for automotive lidar and perception systems
You Li, Javier Ibanez-Guzman
Autonomous vehicles rely on their perception systems to acquire information about their immediate surroundings. It is necessary to detect the presence of other vehicles, pedestrian…