2 citations · 4 across the 5 of their papers we have counts for
5 papers
Digital twins to alleviate the need for real field data in vision-based vehicle speed detection systems
Antonio Hernández Martínez, Iván García Daza, Carlos Fernández López +1
Accurate vision-based speed estimation is much more cost-effective than traditional methods based on radar or LiDAR. However, it is also challenging due to the limitations of persp…
MaskedFusion360: Reconstruct LiDAR Data by Querying Camera Features
Royden Wagner, Marvin Klemp, Carlos Fernandez Lopez
In self-driving applications, LiDAR data provides accurate information about distances in 3D but lacks the semantic richness of camera data. Therefore, state-of-the-art methods for…
RedMotion: Motion Prediction via Redundancy Reduction
Royden Wagner, Omer Sahin Tas, Marvin Klemp +2
We introduce RedMotion, a transformer model for motion prediction in self-driving vehicles that learns environment representations via redundancy reduction. Our first type of redun…
Self-supervised pseudo-colorizing of masked cells
Royden Wagner, Carlos Fernandez Lopez, Christoph Stiller
Self-supervised learning, which is strikingly referred to as the dark matter of intelligence, is gaining more attention in biomedical applications of deep learning. In this work, w…
Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning
Danial Kamran, Carlos Fernandez Lopez, Martin Lauer +1
Reinforcement learning is nowadays a popular framework for solving different decision making problems in automated driving. However, there are still some remaining crucial challeng…