activity
20182026
most citedLatent Space Reinforcement Learning for Steering Angle Prediction

7 citations · 19 across the 8 of their papers we have counts for

collaborators

12 papers

cs.CV2026

TRAIL: Trajectory-Aware Visual Place Recognition against Unordered Databases

Dominik A. Kloepfer, Patrick Wenzel

Modern Visual Place Recognition (VPR) methods excel on standard benchmarks yet remain brittle in feature-poor environments. By treating each query image in isolation, they discard…

cs.CV2023

4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions

Patrick Wenzel, Nan Yang, Rui Wang +2

In this paper, we present a novel visual SLAM and long-term localization benchmark for autonomous driving in challenging conditions based on the large-scale 4Seasons dataset. The p…

cs.CV2021★ 2 cited

Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry

Qadeer Khan, Patrick Wenzel, Daniel Cremers

Vision-based learning methods for self-driving cars have primarily used supervised approaches that require a large number of labels for training. However, those labels are usually…

cs.LG2021

Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning

Patrick Wenzel, Torsten Schön, Laura Leal-Taixé +1

Obstacle avoidance is a fundamental and challenging problem for autonomous navigation of mobile robots. In this paper, we consider the problem of obstacle avoidance in simple 3D en…

cs.CV2020

LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization

Lukas von Stumberg, Patrick Wenzel, Nan Yang +1

We present LM-Reloc -- a novel approach for visual relocalization based on direct image alignment. In contrast to prior works that tackle the problem with a feature-based formulati…

cs.CV2020

4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving

Patrick Wenzel, Rui Wang, Nan Yang +5

We present a novel dataset covering seasonal and challenging perceptual conditions for autonomous driving. Among others, it enables research on visual odometry, global place recogn…