7 citations · 14 across the 5 of their papers we have counts for
9 papers
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…
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…
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…
Towards Generalizing Sensorimotor Control Across Weather Conditions
Qadeer Khan, Patrick Wenzel, Daniel Cremers +1
The ability of deep learning models to generalize well across different scenarios depends primarily on the quality and quantity of annotated data. Labeling large amounts of data fo…
GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization
Lukas von Stumberg, Patrick Wenzel, Qadeer Khan +1
Direct SLAM methods have shown exceptional performance on odometry tasks. However, they are susceptible to dynamic lighting and weather changes while also suffering from a bad init…
Towards Self-Supervised High Level Sensor Fusion
Qadeer Khan, Torsten Schön, Patrick Wenzel
In this paper, we present a framework to control a self-driving car by fusing raw information from RGB images and depth maps. A deep neural network architecture is used for mapping…