225 citations · 225 across the 3 of their papers we have counts for
6 papers
Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View
Alejandro Barrera, Jorge Beltrán, Carlos Guindel +2
The performance of object detection methods based on LiDAR information is heavily impacted by the availability of training data, usually limited to certain laser devices. As a resu…
Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera +1
Most sensor setups for onboard autonomous perception are composed of LiDARs and vision systems, as they provide complementary information that improves the reliability of the diffe…
Towards Autonomous Driving: a Multi-Modal 360 Perception Proposal
Jorge Beltrán, Carlos Guindel, Irene Cortés +7
In this paper, a multi-modal 360 framework for 3D object detection and tracking for autonomous vehicles is presented. The process is divided into four main stages. First,…
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye View
Alejandro Barrera, Carlos Guindel, Jorge Beltrán +1
On-board 3D object detection in autonomous vehicles often relies on geometry information captured by LiDAR devices. Albeit image features are typically preferred for detection, num…
BirdNet: a 3D Object Detection Framework from LiDAR information
Jorge Beltran, Carlos Guindel, Francisco Miguel Moreno +3
Understanding driving situations regardless the conditions of the traffic scene is a cornerstone on the path towards autonomous vehicles; however, despite common sensor setups alre…
Automatic Extrinsic Calibration for Lidar-Stereo Vehicle Sensor Setups
Carlos Guindel, Jorge Beltrán, David Martín +1
Sensor setups consisting of a combination of 3D range scanner lasers and stereo vision systems are becoming a popular choice for on-board perception systems in vehicles; however, t…