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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 …
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] 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 …
Towards active learning for action spotting in association football videos
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 …
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 …
[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 …
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 …
[HTML][HTML] A review on reinforcement learning-based highway autonomous vehicle control
Autonomous driving is an active area of research in artificial intelligence and robotics.
Recent advances in deep reinforcement learning (DRL) show promise for training …
Recent advances in deep reinforcement learning (DRL) show promise for training …