Robust slam systems: Are we there yet?
Progress in the last decade has brought about significant improvements in the accuracy and
speed of SLAM systems, broadening their mapping capabilities. Despite these …
speed of SLAM systems, broadening their mapping capabilities. Despite these …
A review of common techniques for visual simultaneous localization and mapping
Y Dai, J Wu, D Wang - Journal of Robotics, 2023 - Wiley Online Library
Mobile robots are widely used in medicine, agriculture, home furnishing, and industry.
Simultaneous localization and mapping (SLAM) is the working basis of mobile robots, so it is …
Simultaneous localization and mapping (SLAM) is the working basis of mobile robots, so it is …
A low-rank cnn architecture for real-time semantic segmentation in visual slam applications
L Falaschetti, L Manoni… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
Real-time semantic segmentation on embedded devices has recently enjoyed significant
gain in popularity, due to the increasing interest in smart vehicles and smart robots. In …
gain in popularity, due to the increasing interest in smart vehicles and smart robots. In …
An U-Net Semantic Segmentation Vision System on a Low-Power Embedded Microcontroller Platform
L Falaschetti, S Bruschi, M Alessandrini… - Procedia Computer …, 2023 - Elsevier
In recent years, real-time semantic segmentation on embedded devices has become
increasingly popular, largely driven by the growing interest in smart vehicles and robots. The …
increasingly popular, largely driven by the growing interest in smart vehicles and robots. The …
Design of Decentralized Robot Architecture and Sim-To-Real Transfer Pipeline for Deep Reinforcement Learning Based Rough Terrain Navigation
H Hu - 2021 - search.proquest.com
Robots that autonomously navigate real-world 3D cluttered environments need to safely
traverse terrain with abrupt changes in surface normal and elevation. This thesis presents a …
traverse terrain with abrupt changes in surface normal and elevation. This thesis presents a …