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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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Jiawei Zhang, Fenglei Han, Duanfeng Han, Jianfeng Yang, Wangyuan Zhao and Hansheng Li
In the realm of ocean engineering and maintenance of subsea structures, accurate underwater distance quantification plays a crucial role. However, the precision of such measurements is often compromised in underwater environments due to backward scatteri...
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Noor Ul Ain Tahir, Zuping Zhang, Muhammad Asim, Junhong Chen and Mohammed ELAffendi
Enhancing the environmental perception of autonomous vehicles (AVs) in intelligent transportation systems requires computer vision technology to be effective in detecting objects and obstacles, particularly in adverse weather conditions. Adverse weather ...
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JongBae Kim
This technology can prevent accidents involving large vehicles, such as trucks or buses, by selecting an optimal driving lane for safe autonomous driving. This paper proposes a method for detecting forward-driving vehicles within road images obtained fro...
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Xiaokai Li, Xiaolong Zhang, Faming Zhang, Jian Huang, Shixiong Tang and Zhiqing Liu
The mountainous areas of Southwest China have the characteristics of valley deep-cutting, a large topographic gradient, complex geological structures, etc. With the development of infrastructure construction in the area, the construction of bridges acros...
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Son Vu Hong Pham and Khoi Van Tien Nguyen
Artificial intelligence models are currently being proposed for application in improving performance in addressing contemporary management and production issues. With the goal of automating the detection of road surface defects in transportation infrastr...
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Abdullah As Sami, Saadman Sakib, Kaushik Deb and Iqbal H. Sarker
Deep learning has enabled a straightforward, convenient method of road pavement infrastructure management that facilitates a secure, cost-effective, and efficient transportation network. Manual road pavement inspection is time-consuming and dangerous, ma...
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Maro? Jakubec, Eva Lieskovská, Boris Bucko and Katarína Zábovská
Potholes pose a significant problem for road safety and infrastructure. They can cause damage to vehicles and present a risk to pedestrians and cyclists. The ability to detect potholes in real time and with a high level of accuracy, especially under diff...
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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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Mahnoor Khalid, Muhammad Shahzad Sarfraz, Uzair Iqbal, Muhammad Umar Aftab, Gniewko Niedbala and Hafiz Tayyab Rauf
In the twenty-first century, machine learning is a significant part of daily life for everyone. Today, it is adopted in many different applications, such as object recognition, object classification, and medical purposes. This research aimed to use deep ...
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