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Marten Franke, Vaishnavi Gopinath, Danijela Ristic-Durrant and Kai Michels
This paper presents a novel method for generation of synthetic images of obstacles on and near rail tracks over long-range distances. The main goal is to augment the dataset for autonomous obstacle detection (OD) in railways, by inclusion of synthetic im...
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Zhao Wang, Hongjian Wang, Jianya Yuan, Dan Yu, Kai Zhang and Jingfei Ren
The complex underwater environment poses significant challenges for unmanned underwater vehicles (UUVs), particularly in terms of communication constraints and the need for precise cooperative obstacle avoidance and trajectory tracking. Addressing these ...
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Weijun Pan, Liru Qin, Qinyue He and Yuanjing Huang
This paper presents a conflict detection and resolution method based on a velocity obstacle method for flight conflicts in a three-dimensional space. With the location and speed information of the two aircraft, the optimal relief strategy is obtained usi...
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Ali Altalbe, Muhammad Nasir Khan, Muhammad Tahir and Aamir Shahzad
Telepresence robot is useful for remote applications, healthcare and remote sensing.
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Lesia Mochurad, Yaroslav Hladun and Roman Tkachenko
Obstacle detection is crucial for the navigation of autonomous mobile robots: it is necessary to ensure their presence as accurately as possible and find their position relative to the robot. Autonomous mobile robots for indoor navigation purposes use se...
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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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Shidian Ma, Zhongxu Jiang, Haobin Jiang, Mu Han and Chenxu Li
The accuracy of automated parking technology that uses ultrasonic radar or camera vision for obstacles and parking space identification can easily be affected by the surrounding environment especially when the color of the obstacles is similar to the gro...
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Lucía Díaz-Vilariño, Pawel Boguslawski, Kourosh Khoshelham and Henrique Lorenzo
With the rise of urban population, updated spatial information of indoor environments is needed in a growing number of applications. Navigational assistance for disabled or aged people, guidance for robots, augmented reality for gaming, and tourism or tr...
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Gerard Gibbs, Huamin Jia, Irfan Madani
Pág. 173 - 182
One of the basic tasks for autonomous flight with aerial vehicles (drones) is the detection of obstacles within its flight environment. As the technology develops and becomes more robust, drones will become part of the toolkit to aid maintenance repair a...
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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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Chih-Ming Hsu and Jian-Yu Chen
Accelerated urbanization and the ensuing rapid increase in urban populations led to the need for a tremendous number of parking spaces. Automated parking systems coupled with new parking lot layouts can effectively address the need. However, most automat...
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Yuanming Chen, Xiaobin Hong, Weiguo Chen, Huifang Wang and Tianhui Fan
The new way of offshore operation and maintenance based on unmanned ships has outstanding advantages. Aiming at the problem of lack of overall understanding of the complex environment above and under the water surface during the operation and maintenance...
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Jia Ren, Jing Zhang and Yani Cui
Focusing on the collision avoidance problem for Unmanned Surface Vehicles (USVs) in the scenario of multi-vessel encounters, a USV autonomous obstacle avoidance algorithm based on the improved velocity obstacle method is proposed. The algorithm is compos...
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Wubin Shi, Ke Wang, Chong Zhao and Mengqi Tian
In the future of automated production processes, the manipulator must be more efficient to complete certain tasks. Compared to single-arm robots, dual-arm robots have a larger workspace and stronger load capacity. Coordinated motion planning of multi-arm...
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Lucas Mayr, Lucas Palma, Gustavo Zambonin, Wellington Silvano and Ricardo Custódio
Private key management is a complex obstacle arising from the traditional public key infrastructure model. However, before any related security breach can be addressed, it must first be reliably detected. Certificate Transparency (CT) is an example of a ...
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Tiago Domingues, Tomás Brandão and João C. Ferreira
Considering the population growth rate of recent years, a doubling of the current worldwide crop productivity is expected to be needed by 2050. Pests and diseases are a major obstacle to achieving this productivity outcome. Therefore, it is very importan...
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Zeyuan Shao, Hongguang Lyu, Yong Yin, Tao Cheng, Xiaowei Gao, Wenjun Zhang, Qianfeng Jing, Yanjie Zhao and Lunping Zhang
Accurate detection of sea-surface objects is vital for the safe navigation of autonomous ships. With the continuous development of artificial intelligence, electro-optical (EO) sensors such as video cameras are used to supplement marine radar to improve ...
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Junchi Zhou, Ping Jiang, Airu Zou, Xinglin Chen and Wenwu Hu
In order to realize the real-time detection of an unmanned fishing speedboat near a ship ahead, a perception platform based on a target visual detection system was established. By controlling the depth and width of the model to analyze and compare traini...
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Po-Tong Wang, Shao-Yu Lin, Jia-Shing Sheu
Pág. 213 - 221
With the development of artificial intelligence, public cloud service platforms have begun to provide common pretrained object recognition models for public use. In this study, a dynamic vehicle path-planning system is developed, which uses several gener...
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Jia-Shing Sheu, Chen-Yin Han
This study developed scene recognition and cloud computing technology for real-time environmental image-based regional planning using artificial intelligence. TensorFlow object detection functions were used for artificial intelligence technology. First, ...
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