Results 111 to 120 of about 15,287 (197)

Role of Deep Learning in Loop Closure Detection for Visual and Lidar SLAM: A Survey. [PDF]

Sensors (Basel), 2021
Arshad S, Kim GW.
europepmc   +1 more source

Benchmarking and Comparing Popular Visual SLAM Algorithms

, 2018
This paper contains the performance analysis and benchmarking of two popular visual SLAM Algorithms: RGBD-SLAM and RTABMap. The dataset used for the analysis is the TUM RGBD Dataset from the Computer Vision Group at TUM.
Kasar, Amey
core  

GPS‐Denied LiDAR‐Based SLAM—A Survey

IET Cyber-systems and Robotics
In recent years, significant advancements have been made in enabling intelligent unmanned agents to achieve autonomous navigation and positioning within large‐scale indoor or underground environments.
Haolong Jiang, Yikun Cheng, Weichen Dai, Wenbin Wan, Qinyao Liu, Fanxin Wang   +5 more
doaj   +1 more source

End-to-End Navigation in Unknown Environments using Neural Networks

, 2017
We investigate how a neural network can learn perception actions loops for navigation in unknown environments. Specifically, we consider how to learn to navigate in environments populated with cul-de-sacs that represent convex local minima that the robot
Atanasov, Nikolay, Karydis, Konstantinos, Khan, Arbaaz, Kumar, Vijay, Lee, Daniel D., Zhang, Clark   +5 more
core  

PSMD-SLAM: Panoptic Segmentation-Aided Multi-Sensor Fusion Simultaneous Localization and Mapping in Dynamic Scenes

Applied Sciences
Multi-sensor fusion is pivotal in augmenting the robustness and precision of simultaneous localization and mapping (SLAM) systems. The LiDAR–visual–inertial approach has been empirically shown to adeptly amalgamate the benefits of these sensors for SLAM ...
Chengqun Song, Bo Zeng, Jun Cheng, Fuxiang Wu, Fusheng Hao   +4 more
doaj   +1 more source

Pole-Like Object Extraction and Pole-Aided GNSS/IMU/LiDAR-SLAM System in Urban Area. [PDF]

Sensors (Basel), 2020
Liu T, Chang L, Niu X, Liu J.
europepmc   +1 more source

A visual-assisted relocalization add-on for autonomous robots

International Journal of Advanced Robotic Systems
We introduce a novel visual-assisted relocalization method for autonomous robots, enhancing both indoor and outdoor navigation. Recognizing the limitations of relying solely on light detection and ranging (LiDAR) sensors for simultaneous localization and
Yao Cheng, Fengyang Jiang, Zhe Han, Huaizhen Wang, Fengyu Zhou   +4 more
doaj   +1 more source

Development of an Orchard Inspection Robot: A ROS-Based LiDAR-SLAM System with Hybrid A*-DWA Navigation. [PDF]

Sensors (Basel)
Qu J, Gu Y, Qiu Z, Guo K, Zhu Q.
europepmc   +1 more source

Comparative Analysis of LiDAR-SLAM Systems: A Study of a Motorized Optomechanical LiDAR and an MEMS Scanner LiDAR. [PDF]

Sensors (Basel)
Fortuna S, Chiodini S, Valmorbida A, Pertile M.   +3 more
europepmc   +1 more source

When-to-Loop: Enhanced Loop Closure for LiDAR SLAM in Urban Environments Based on SCAN CONTEXT. [PDF]

Micromachines (Basel)
Xu X, Guan L, Zeng J, Sun Y, Gao Y, Li Q.   +5 more
europepmc   +1 more source