Results 51 to 60 of about 4,275 (207)

Multi-modal Feature Fusion in RGB-LiDAR SLAM [PDF]

ITM Web of Conferences
Simultaneous Localization and Mapping (SLAM) is a core technology for environmental perception and autonomous navigation in intelligent robots and autonomous driving.
Jing Haoyang
doaj   +1 more source

A Review of Simultaneous Localization and Mapping Algorithms Based on Lidar

World Electric Vehicle Journal
Simultaneous localization and mapping (SLAM) is one of the key technologies for mobile robots to achieve autonomous driving, and the lidar SLAM algorithm is the mainstream research scheme.
Yong Li, Jiexin An, Na He, Yanbo Li, Zhenyu Han, Zishan Chen, Yaping Qu   +6 more
doaj   +1 more source

LiDAR SLAM Positioning Quality Evaluation in Urban Road Traffic [PDF]

, 2019
This paper addresses the positioning quality of LiDAR-based Simultaneous Localization And Mapping (SLAM) within urban road traffic. Based on the assumption of functional capability of existing SLAM implementations, the paper evaluates specific details of
Mosebach, Henning Hajo, Andert, Franz
core   +1 more source

Evaluation of Lidar-based 3D SLAM algorithms in SubT environment [PDF]

, 2023
Autonomous navigation of robots in harsh and GPS denied subterranean (SubT) environments with lack of natural or poor illumination is a challenging task that fosters the development of algorithms for pose estimation and mapping.
Nikolakopoulos, George, Anton Koval, Kanellakis, Christoforos, Christoforos Kanellakis, Koval, Anton, George Nikolakopoulos   +5 more
core   +2 more sources

Evaluation of Lidar-based 3D SLAM algorithms in SubT environment [PDF]

, 2022
Autonomous navigation of robots in harsh and GPS denied subterranean (SubT) environments with lack of natural or poor illumination is a challenging task that fosters the development of algorithms for pose estimation and mapping.
Anton Koval, Christoforos Kanellakis, Kanellakis, Christoforos,, George Nikolakopoulos, Koval, Anton,, Nikolakopoulos, George,   +5 more
core   +1 more source

AGPC-SLAM: Absolute Ground Plane Constrained 3D Lidar SLAM

Navigation, 2022
3D lidar-based simultaneous localization and mapping (SLAM) is a well-recognized solution for mapping and localization applications. However, the typical 3D lidar sensor (e.g., Velodyne HDL-32E) only provides a very limited field of view vertically. As a
Weisong Wen, Li-Ta Hsu
doaj   +1 more source

CamVox: A Low-cost and Accurate Lidar-assisted Visual SLAM System [PDF]

, 2021
— Combining lidar in camera-based simultaneous localization and mapping (SLAM) is an effective method in improving overall accuracy, especially at outdoor large scale scenes. Recent development of low-cost lidars (e.g.
Yuewen Zhu; Chunran Zheng; Chongjian Yuan; Xu Huang; Xiaoping Hong
core   +1 more source

SuMa++: Efficient LiDAR-based Semantic SLAM [PDF]

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
Accepted by IROS 2019.
Xieyuanli Chen, Andres Milioto, Emanuele Palazzolo, Philippe Giguère, Jens Behley, Cyrill Stachniss   +5 more
openaire   +2 more sources

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

Unmanned Aerial Systems for Corrosion Detection: Multi‐Sensor Technologies, Challenges, and Opportunities for Next‐Generation Inspection

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Corrosion remains a critical threat to the integrity and service life of infrastructure in industries such as oil, gas, construction, renewable energy, and transportation. Traditional inspection methods, being labor‐intensive, hazardous, and often subjective, fall short in addressing modern inspection demands.
Alhossein Alharbi, Yunes Alqudsi, Alhasan Ali Alharbi, Mohammed Basheer Mohiuddin   +3 more
wiley   +1 more source