A comprehensive survey of visual slam algorithms

A Macario Barros, M Michel, Y Moline, G Corre… - Robotics, 2022 - mdpi.com
Simultaneous localization and map** (SLAM) techniques are widely researched, since
they allow the simultaneous creation of a map and the sensors' pose estimation in an …

A survey of fpga-based robotic computing

Z Wan, B Yu, TY Li, J Tang, Y Zhu… - IEEE Circuits and …, 2021 - ieeexplore.ieee.org
Recent researches on robotics have shown significant improvement, spanning from
algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged …

Hardware implementation of SLAM algorithms: a survey on implementation approaches and platforms

R Eyvazpour, M Shoaran, G Karimian - Artificial Intelligence Review, 2023 - Springer
Simultaneous localization and map** (SLAM) is an active research topic in machine
vision and robotics. It has various applications in many different fields such as mobile robots …

A universal LiDAR SLAM accelerator system on low-cost FPGA

K Sugiura, H Matsutani - IEEE Access, 2022 - ieeexplore.ieee.org
LiDAR (Light Detection and Ranging) SLAM (Simultaneous Localization and Map**)
serves as a basis for indoor cleaning, navigation, and many other useful applications in both …

Fpga architectures for real-time dense slam

Q Gautier, A Althoff, R Kastner - 2019 IEEE 30th International …, 2019 - ieeexplore.ieee.org
Simultaneous Localization And Map** (SLAM) is an important technique used in robotics,
computer vision, and virtual/augmented reality. SLAM algorithms have moved past creating …

Reconfigurable system-on-Chip architectures for robust visual SLAM on humanoid robots

MR Gkeka, A Patras, N Tavoularis, S Piperakis… - ACM Transactions on …, 2023 - dl.acm.org
Visual Simultaneous Localization and Map** (vSLAM) is the method of employing an
optical sensor to map the robot's observable surroundings while also identifying the robot's …

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

M Eisoldt, J Gaal, T Wiemann, M Flottmann… - Robotics and …, 2022 - Elsevier
Abstract Simultaneous Localization and Map** (SLAM) is one of the fundamental
problems in autonomous robotics. Over the years, many approaches to solve this problem …

Fslam: an efficient and accurate slam accelerator on soc fpgas

V Vemulapati, D Chen - 2022 International Conference on Field …, 2022 - ieeexplore.ieee.org
Simultaneous Localization and Map** (SLAM) is one of the main components of
autonomous navigation systems. With the increase in popularity of drones, autonomous …

A scalable fpga-based architecture for depth estimation in slam

K Boikos, CS Bouganis - International Symposium on Applied …, 2019 - Springer
The current state of the art of Simultaneous Localisation and Map**, or SLAM, on low
power embedded systems is about sparse localisation and map** with low resolution …

A throughput-latency co-optimised cascade of convolutional neural network classifiers

A Kouris, SI Venieris… - 2020 Design, Automation & …, 2020 - ieeexplore.ieee.org
Convolutional Neural Networks constitute a prominent AI model for classification tasks,
serving a broad span of diverse application domains. To enable their efficient deployment in …