Vision-based navigation techniques for unmanned aerial vehicles: Review and challenges
In recent years, unmanned aerial vehicles (UAVs), commonly known as drones, have
gained increasing interest in both academia and industries. The evolution of UAV …
gained increasing interest in both academia and industries. The evolution of UAV …
Challenges and solutions for autonomous ground robot scene understanding and navigation in unstructured outdoor environments: A review
The capabilities of autonomous mobile robotic systems have been steadily improving due to
recent advancements in computer science, engineering, and related disciplines such as …
recent advancements in computer science, engineering, and related disciplines such as …
Towards active learning for action spotting in association football videos
S Giancola, A Cioppa, J Georgieva… - Proceedings of the …, 2023 - openaccess.thecvf.com
Association football is a complex and dynamic sport, with numerous actions occurring
simultaneously in each game. Analyzing football videos is challenging and requires …
simultaneously in each game. Analyzing football videos is challenging and requires …
Deep learning and autonomous vehicles: Strategic themes, applications, and research agenda using SciMAT and content-centric analysis, a systematic review
FE Morooka, AM Junior, TFAC Sigahi, JS Pinto… - Machine Learning and …, 2023 - mdpi.com
Applications of deep learning (DL) in autonomous vehicle (AV) projects have gained
increasing interest from both researchers and companies. This has caused a rapid …
increasing interest from both researchers and companies. This has caused a rapid …
Autonomous vehicular overtaking maneuver: A survey and taxonomy
Autonomous vehicles (AVs) are the next-generation driver-less vehicular entities with
advanced technologies. Overtaking is an important and challenging maneuver that needs to …
advanced technologies. Overtaking is an important and challenging maneuver that needs to …
Detection, instance segmentation, and classification for astronomical surveys with deep learning (deepdisc): detectron2 implementation and demonstration with …
The next generation of wide-field deep astronomical surveys will deliver unprecedented
amounts of images through the 2020s and beyond. As both the sensitivity and depth of …
amounts of images through the 2020s and beyond. As both the sensitivity and depth of …
[HTML][HTML] Deep learning in Transportation: Optimized driven deep residual networks for Arabic traffic sign recognition
Car manufacturers around the globe are in a race to design and build driverless cars. The
concept of driverless is also being applied to any moving vehicle such as wheelchairs, golf …
concept of driverless is also being applied to any moving vehicle such as wheelchairs, golf …
The development of rubber tapping machines in intelligent agriculture: A review
H Yang, Z Sun, J Liu, Z Zhang, X Zhang - Applied Sciences, 2022 - mdpi.com
In the past decade, intelligent technologies have advanced rapidly, particularly due to
improvements in automatic control, which have had a significant impact on forestry, as well …
improvements in automatic control, which have had a significant impact on forestry, as well …
Research on path planning and path tracking control of autonomous vehicles based on improved APF and SMC
Y Zhang, K Liu, F Gao, F Zhao - Sensors, 2023 - mdpi.com
Path planning and tracking control is an essential part of autonomous vehicle research. In
terms of path planning, the artificial potential field (APF) algorithm has attracted much …
terms of path planning, the artificial potential field (APF) algorithm has attracted much …
A Survey of Vehicle Localization: Performance Analysis and Challenges
X Shan, A Cabani, H Chafouk - IEEE Access, 2023 - ieeexplore.ieee.org
Vehicle localization plays a crucial role in ensuring the safe operation of autonomous
vehicles and the development of intelligent transportation systems (ITS). However, there is …
vehicles and the development of intelligent transportation systems (ITS). However, there is …