A fully integrated system for hardware-accelerated TSDF SLAM with LiDAR sensors (HATSDF SLAM)

Author:

Eisoldt Marc,Gaal Julian,Wiemann Thomas,Flottmann Marcel,Rothmann Marc,Tassemeier Marco,Porrmann Mario

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference27 articles.

1. Visual SLAM and structure from motion in dynamic environments: A survey;Saputra;ACM Comput. Surv.,2018

2. A review of visual-LiDAR fusion based simultaneous localization and mapping;Debeunne;Sensors,2020

3. HATSDF SLAM–hardware-accelerated TSDF SLAM for reconfigurable SoCs;Eisoldt,2021

4. Energy-efficient FPGA-accelerated LiDAR-based SLAM for embedded robotics;Flottmann,2021

5. 3D navigation mesh generation for path planning in uneven terrain;Pütz;IFAC-PapersOnLine,2016

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1. FeatSense – A Feature-Based Registration Algorithm with GPU-Accelerated TSDF-Mapping Backend for NVIDIA Jetson Boards;2023 Seventh IEEE International Conference on Robotic Computing (IRC);2023-12-11

2. Towards 6D MCL for LiDARs in 3D TSDF Maps on Embedded Systems with GPUs;2023 Seventh IEEE International Conference on Robotic Computing (IRC);2023-12-11

3. Three-dimensional reconstruction of the furrow shape in orchards using a low-cost lidar;Frontiers in Sustainable Food Systems;2023-07-21

4. A Computationally Efficient Visual SLAM for Low-light and Low-texture Environments Based on Neural Networks;2023 IEEE International Conference on Real-time Computing and Robotics (RCAR);2023-07-17

5. Special Issue on the 10th European Conference on Mobile Robots (ECMR 2021);Robotics and Autonomous Systems;2023-05

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