209 citations · 640 across the 25 of their papers we have counts for
6 papers · 1 filter
NeuralBlox: Real-Time Neural Representation Fusion for Robust Volumetric Mapping
Stefan Lionar, Lukas Schmid, Cesar Cadena +2
We present a novel 3D mapping method leveraging the recent progress in neural implicit representation for 3D reconstruction. Most existing state-of-the-art neural implicit represen…
Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning
Yunke Ao, Le Chen, Florian Tschopp +3
Visual-inertial sensors have a wide range of applications in robotics. However, good performance often requires different sophisticated motion routines to accurately calibrate came…
SemSegMap- 3D Segment-Based Semantic Localization
Andrei Cramariuc, Florian Tschopp, Nikhilesh Alatur +6
Localization is an essential task for mobile autonomous robotic systems that want to use pre-existing maps or create new ones in the context of SLAM. Today, many robotic platforms…
CalQNet -- Detection of Calibration Quality for Life-Long Stereo Camera Setups
Jiapeng Zhong, Zheyu Ye, Andrei Cramariuc +4
Many mobile robotic platforms rely on an accurate knowledge of the extrinsic calibration parameters, especially systems performing visual stereo matching. Although a number of accu…
Dynamic Object Aware LiDAR SLAM based on Automatic Generation of Training Data
Patrick Pfreundschuh, Hubertus Franciscus Cornelis Hendrikx, Victor Reijgwart +3
Highly dynamic environments, with moving objects such as cars or humans, can pose a performance challenge for LiDAR SLAM systems that assume largely static scenes. To overcome this…
Hough2Map -- Iterative Event-based Hough Transform for High-Speed Railway Mapping
Florian Tschopp, Cornelius von Einem, Andrei Cramariuc +5
To cope with the growing demand for transportation on the railway system, accurate, robust, and high-frequency positioning is required to enable a safe and efficient utilization of…