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guruprasad YK, NageswaraGuptha M N
Pág. 77 - 94
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Bohdan Petryshyn, Serhii Postupaiev, Soufiane Ben Bari and Armantas Ostreika
The development of autonomous driving models through reinforcement learning has gained significant traction. However, developing obstacle avoidance systems remains a challenge. Specifically, optimising path completion times while navigating obstacles is ...
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Xinghua Lin, Jianguo Wu and Qing Qin
Because the underwater environment is complex, autonomous underwater vehicles (AUVs) have difficulty locating their surroundings autonomously. In order to improve the adaptive ability of AUVs, this paper presents a novel obstacle localization strategy ba...
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Anton Dotsenko
Pág. 84 - 92
The article is devoted to the control system synthesis problem considering collision avoidance system in the task of collective regrouping of dynamic objects. Our goal is to find the closed loop control system with probabilistic mapping of the current st...
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Anton Dotsenko
Pág. 84 - 92
The article is devoted to the control system synthesis problem considering collision avoidance system in the task of collective regrouping of dynamic objects. Our goal is to find the closed loop control system with probabilistic mapping of the current st...
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Yifan Shang, Wanneng Yu, Guangmiao Zeng, Huihui Li and Yuegao Wu
Image recognition is vital for intelligent ships? autonomous navigation. However, traditional methods often fail to accurately identify maritime objects? spatial positions, especially under electromagnetic silence. We introduce the StereoYOLO method, an ...
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Junyu Chen and Chusen Lin
Acquiring accurate space object orbits is crucial for many applications such as satellite tracking, space debris detection, and collision avoidance. The widely used two-line element (TLE) method estimates the position and velocity of objects in space, bu...
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Wen-Chieh Chen, Chun-Liang Lin, Yang-Yi Chen and Hsin-Hsu Cheng
Unmanned aerial vehicles (UAVs) are becoming popular in various applications. However, there are still challenging issues to be tackled, such as effective obstacle avoidance, target identification within a crowd, and specific target tracking. This paper ...
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Fidel Aznar, Mar Pujol and Ramón Rizo
This article presents a macroscopic swarm foraging behavior obtained using deep reinforcement learning. The selected behavior is a complex task in which a group of simple agents must be directed towards an object to move it to a target position without t...
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James Blaise and Michael C. F. Bazzocchi
Recent efforts in on-orbit servicing, manufacturing, and debris removal have accentuated some of the challenges related to close-proximity space manipulation. Orbital debris threatens future space endeavors driving active removal missions. Additionally, ...
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Denise Keil, Stefan Scharring, Erik Klein, Raoul-Amadeus Lorbeer, Dennis Schumacher, Frederic Seiz, Kush Kumar Sharma, Michael Zwilich, Lukas Schnörer, Markus Roth, Mohamed Khalil Ben-Larbi, Carsten Wiedemann, Wolfgang Riede and Thomas Dekorsy
Environmental pollution exists not only within our atmosphere but also in space. Space debris is a critical problem of modern and future space infrastructure. Congested orbits raise the question of spacecraft disposal. Therefore, state-of-the-art satelli...
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Guanqun Liu, Naifeng Wen, Feifei Long and Rubo Zhang
This study introduces a method for formation control and obstacle avoidance for multiple unmanned surface vehicles (USVs) by combining an artificial potential field with the virtual structure method. The approach involves a leader?follower formation stru...
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Sujith Gunturu, Arslan Munir, Hayat Ullah, Stephen Welch and Daniel Flippo
To obtain more consistent measurements through the course of a wheat growing season, we conceived and designed an autonomous robotic platform that performs collision avoidance while navigating in crop rows using spatial artificial intelligence (AI). The ...
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Zhaoyang Wang, Dan Zhao and Yunfeng Cao
Aiming at the problem that obstacle avoidance of unmanned aerial vehicles (UAVs) cannot effectively detect obstacles under low illumination, this research proposes an enhancement algorithm for low-light airborne images, which is based on the camera respo...
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