Results 1 to 10 of about 3,501 (181)

CDFNet: Cross‐Modal Deep Fusion for Monocular 3D Semantic Scene Completion

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Semantic scene completion (SSC) aims to predict the semantic occupancy and geometry of 3D scenes. Recently, most studies focus on camera‐based approaches due to the rich visual cues of images and the cost‐effectiveness of cameras. However, these methods usually lack efficient fusion and fine‐grained processing of cross‐modal semantic ...
Xianjing Cheng, Lintai Wu, Jie Wen, Tianhao Peng, Yong Xu, Zairong Wei   +5 more
wiley   +1 more source

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

Journal of Field Robotics, Volume 43, Issue 4, Page 2553-2584, June 2026.
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

Advancements in Radar Odometry

2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Radar odometry estimation has emerged as a critical technique in the field of autonomous navigation, providing robust and reliable motion estimation under various environmental conditions. Despite its potential, the complex nature of radar signals and the inherent challenges associated with processing these signals have limited the widespread adoption ...
Matteo Frosi, Mirko Usuelli, Matteo Matteucci   +2 more
openaire   +2 more sources

Benefits of Multi-Constellation/Multi-Frequency GNSS in a Tightly Coupled GNSS/IMU/Odometry Integration Algorithm

Sensors, 2018
Localization algorithms based on global navigation satellite systems (GNSS) play an important role in automotive positioning. Due to the advent of autonomously driving cars, their importance is expected to grow even further in the next years ...
Björn Reuper, Matthias Becker, Stefan Leinen   +2 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, Volume 43, Issue 4, Page 2671-2692, June 2026.
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

A Geomagnetic/Odometry Integrated Localization Method for Differential Robot Using Real-Time Sequential Particle Filter

Sensors
Geomagnetic matching navigation is extensively utilized for localization and navigation of autonomous robots and vehicles owing to its advantages such as low cost, wide-area coverage, and no cumulative errors.
Qinghua Luo, Mutong Yu, Xiaozhen Yan, Zhiquan Zhou, Chenxu Wang, Boyuan Liu   +5 more
doaj   +1 more source

Efficient and Adaptive Autonomous Guidance and Control of Planetary Rover With Improved Traction Controller and Dynamic Cost Map

Journal of Field Robotics, Volume 43, Issue 4, Page 2848-2866, June 2026.
ABSTRACT Planetary exploration is rapidly gaining importance within the space research community. Autonomous locomotion of rovers requires consideration of several mobility aspects to ensure safety, including avoiding hazardous areas that can cause the robot to become immobilized in soft soil or damaged in sharp terrains.
Alessio De Luca, Luca Muratore, Nikos G. Tsagarakis, Martin Azkarate   +3 more
wiley   +1 more source

Neural Network Based Uncertainty Prediction for Autonomous Vehicle Application

Frontiers in Neurorobotics, 2019
This paper proposes a framework for uncertainty prediction in complex fusion networks, where signals become available sporadically. Assuming there is no information of the sensor characteristics available, a surrogated model of the sensor uncertainty is ...
Feihu Zhang, Clara Marina Martinez, Daniel Clarke, Dongpu Cao, Alois Knoll   +4 more
doaj   +1 more source

Sampling, Mobility, and Anchoring in Small‐Body Sampling Robots: A Comprehensive Review

SmartBot, Volume 2, Issue 2, June 2026.
Small‐body sampling robots are exploration systems that perform contact, sampling, and stable operations on microgravity bodies such as asteroids and comets. The authors review representative robot architectures and key technologies, focusing on the mechanisms, evolution, and coupling of sampling, mobility, and anchoring.
Yurui Shen, Yixin Zhu, Mingxia Bao, Ting Zhang, Jun Wu, Jingbin Hao, Dezheng Hua, Xinhua Liu   +7 more
wiley   +1 more source

Thermal Stereo Odometry for UAVs [PDF]

IEEE Sensors Journal, 2015
In the last decade, visual odometry (VO) has attracted significant research attention within the computer vision community. Most of the works have been carried out using standard visible-band cameras. These sensors offer numerous advantages but also suffer from some drawbacks such as illumination variations and limited operational time (i.e., daytime ...
Mouats, Tarek, Aouf, Nabil, Chermak, Lounis, Richardson, Mark A.   +3 more
openaire   +2 more sources