research
∙
07/07/2023
RGB-D Mapping and Tracking in a Plenoxel Radiance Field
Building on the success of Neural Radiance Fields (NeRFs), recent years ...
share
research
∙
01/06/2022
Realistic Full-Body Anonymization with Surface-Guided GANs
Recent work on image anonymization has shown that generative adversarial...
research
∙
09/03/2021
Model-Based Parameter Optimization for Ground Texture Based Localization Methods
A promising approach to accurate positioning of robots is ground texture...
research
∙
05/31/2021
Urban Traffic Surveillance (UTS): A fully probabilistic 3D tracking approach based on 2D detections
Urban Traffic Surveillance (UTS) is a surveillance system based on a mon...
research
∙
11/02/2020
Image Inpainting with Learnable Feature Imputation
A regular convolution layer applying a filter in the same way over known...
research
∙
02/27/2020
Features for Ground Texture Based Localization – A Survey
Ground texture based vehicle localization using feature-based methods is...
research
∙
02/25/2020
Ground Texture Based Localization Using Compact Binary Descriptors
Ground texture based localization is a promising approach to achieve hig...
research
∙
09/10/2019
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
We propose a novel architecture which is able to automatically anonymize...
research
∙
08/17/2019
Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes
Existing 3D scene flow estimation methods provide the 3D geometry and 3D...
research
∙
08/07/2019
Mono-Stixels: Monocular depth reconstruction of dynamic street scenes
In this paper we present mono-stixels, a compact environment representat...
research
∙
07/24/2019
SDNet: Semantically Guided Depth Estimation Network
Autonomous vehicles and robots require a full scene understanding of the...
research
∙
04/17/2019
DistanceNet: Estimating Traveled Distance from Monocular Images using a Recurrent Convolutional Neural Network
Classical monocular vSLAM/VO methods suffer from the scale ambiguity pro...
research
∙
11/19/2018
Simulated Autonomous Driving in a Realistic Driving Environment using Deep Reinforcement Learning and a Deterministic Finite State Machine
In the field of Autonomous Driving, the system controlling the vehicle c...
research
∙
12/12/2017
Simulated Autonomous Driving on Realistic Road Networks using Deep Reinforcement Learning
Using Deep Reinforcement Learning (DRL) can be a promising approach to h...
research
∙
03/15/2017
Joint Epipolar Tracking (JET): Simultaneous optimization of epipolar geometry and feature correspondences
Traditionally, pose estimation is considered as a two step problem. Firs...
research
∙
03/15/2017
Learning Rank Reduced Interpolation with Principal Component Analysis
In computer vision most iterative optimization algorithms, both sparse a...
research
∙
09/15/2016
