papers
Publications (8)
cs.AI2018
Simulated Autonomous Driving on Realistic Road Networks using Deep Reinforcement Learning
Patrick Klose, Rudolf Mester
cs.CV2019
DistanceNet: Estimating Traveled Distance from Monocular Images using a Recurrent Convolutional Neural Network
Robin Kreuzig, Matthias Ochs, Rudolf Mester
cs.CV2019
Mono-Stixels: Monocular depth reconstruction of dynamic street scenes
Fabian Brickwedde, Steffen Abraham, Rudolf Mester
The paper proposes mono-stixels, a compact representation that estimates depth, motion, and semantic information from a monocular video of dynamic street scenes using optical flow,…
#monocular depth estimation#stixels#optical flow#semantic segmentation
cs.CV2017
Learning Rank Reduced Interpolation with Principal Component Analysis
Matthias Ochs, Henry Bradler, Rudolf Mester
cs.CV2016
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles
Peter Pinggera, Sebastian Ramos, Stefan Gehrig +3
cs.CV2017
Joint Epipolar Tracking (JET): Simultaneous optimization of epipolar geometry and feature correspondences
Henry Bradler, Matthias Ochs, Rudolf Mester
cs.CV2019
SDNet: Semantically Guided Depth Estimation Network
Matthias Ochs, Adrian Kretz, Rudolf Mester
cs.AI2018
Simulated Autonomous Driving in a Realistic Driving Environment using Deep Reinforcement Learning and a Deterministic Finite State Machine
Patrick Klose, Rudolf Mester