Results 61 to 70 of about 14,971 (201)

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Perbandingan Survei LiDAR Menggunakan Wahana Drone dan Handheld-SLAM Untuk Analisa Tree Trunk dan Tree Crown

Journal of Geospatial Information Science and Engineering
Rekonstruksi tiga dimensi pohon memiliki peran penting dalam berbagai bidang, seperti studi pengelolaan hutan, ekologi, perhitungan emisi karbon, serta aplikasi perencanaan perkotaan.
Putri Rahmadani
doaj   +1 more source

A LiDAR-intensity SLAM and loop closure detection method using an intensity cylindrical-projection shape context descriptor

International Journal of Applied Earth Observations and Geoinformation, 2023
LiDAR Simultaneous Localization and Mapping (SLAM) is able to map unknown scene while online estimating the LiDAR’s pose. Traditional LiDAR SLAM frameworks mainly rely on geometric features in the environments, but ignore LiDAR intensity information ...
Xing Zhang, Hongjuan Zhang, Chuang Qian, Bijun Li, Yongxing Cao   +4 more
doaj   +1 more source

3D Registration of Aerial and Ground Robots for Disaster Response: An Evaluation of Features, Descriptors, and Transformation Estimation

, 2017
Global registration of heterogeneous ground and aerial mapping data is a challenging task. This is especially difficult in disaster response scenarios when we have no prior information on the environment and cannot assume the regular order of man-made ...
Cadena, Cesar, Dubé, Renaud, Gawel, Abel, Nieto, Juan, Siegwart, Roland, Surmann, Hartmut   +5 more
core   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

Findings from a Combined Subsea LiDAR and Multibeam Survey at Kingston Reef, Western Australia

Remote Sensing, 2020
Light Detection and Ranging (LiDAR), a comparatively new technology in the field of underwater surveying, has principally been used for taking precise measurement of undersea structures in the oil and gas industry.
Simon Collings, Tara J. Martin, Emili Hernandez, Stuart Edwards, Andrew Filisetti, Gavin Catt, Andreas Marouchos, Matt Boyd, Carl Embry   +8 more
doaj   +1 more source

Autonomous Navigation in Large‐Scale Underground Environments Based on a Purely Topological Understanding of Tunnel Networks

Journal of Field Robotics, EarlyView.
ABSTRACT This work presents a non‐geometrical navigation approach based on a purely topological understanding of underground environments. By conceptualizing subterranean scenarios as a set of tunnels that intersect with each other, and taking a navigation approach based on topological instructions, we simplify the navigation problem to the sequential ...
Lorenzo Cano, Danilo Tardioli, Alejandro R. Mosteo   +2 more
wiley   +1 more source

LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles

, 2019
A key capability for autonomous underground mining vehicles is real-time accurate localisation. While significant progress has been made, currently deployed systems have several limitations ranging from dependence on costly additional infrastructure to ...
Boswell, Nigel, Jacobson, Adam, Milford, Michael, Peynot, Thierry, Smith, David, Zeng, Fan   +5 more
core   +1 more source

Ground-SLAM: Ground Constrained LiDAR SLAM for Structured Multi-Floor Environments

, 2021
This paper proposes a 3D LiDAR SLAM algorithm named Ground-SLAM, which exploits grounds in structured multi-floor environments to compress the pose drift mainly caused by LiDAR measurement bias. Ground-SLAM is developed based on the well-known pose graph optimization framework.
Wei, Xin, Lv, Jixin, Sun, Jie, Pu, Shiliang   +3 more
openaire   +2 more sources

NePO: Neural Point Octrees for Large‐Scale Novel View Synthesis

Computer Graphics Forum, EarlyView.
We introduce Neural Point Octrees (NePOs), a scalable radiance field representation that organises point clouds hierarchically for efficient optimisation and rendering of large scale scenes. NePOs enable level of detail selection, joint refinement of appearance and camera poses, and real‐time rendering of hundreds of millions of points.
Noah Lewis, Darius Rückert, Marc Stamminger, Linus Franke   +3 more
wiley   +1 more source