25 citations · 25 across the 3 of their papers we have counts for
6 papers · 1 filter
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,…
siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection
Irene Cortes, Jorge Beltran, Arturo de la Escalera +1
The rapid development of embedded hardware in autonomous vehicles broadens their computational capabilities, thus bringing the possibility to mount more complete sensor setups able…
Lane Detection and Classification using Cascaded CNNs
Fabio Pizzati, Marco Allodi, Alejandro Barrera +1
Lane detection is extremely important for autonomous vehicles. For this reason, many approaches use lane boundary information to locate the vehicle inside the street, or to integra…
Enhanced free space detection in multiple lanes based on single CNN with scene identification
Fabio Pizzati, Fernando García
Many systems for autonomous vehicles' navigation rely on lane detection. Traditional algorithms usually estimate only the position of the lanes on the road, but an autonomous contr…
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…