阴郁
发表于 2025-3-23 11:48:36
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字谜游戏
发表于 2025-3-23 16:14:05
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Heart-Attack
发表于 2025-3-23 18:57:37
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大炮
发表于 2025-3-24 00:32:16
Yuri Monakhov,Oleg Nikitin,Anna Kuznetsova,Alexey Kharlamov,Alexandr Amochkin
NIB
发表于 2025-3-24 05:09:59
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Type-1-Diabetes
发表于 2025-3-24 10:17:59
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Terrace
发表于 2025-3-24 13:53:06
Pedestrian Recognition and Obstacle Avoidance for Autonomous Vehicles Using Raspberry Pi,es from the acoustic axis, and at delay periods over two seconds. HOG descriptor was found to be a superior algorithm for detecting pedestrians compared to Haar-classifier with an accuracy of around 83%, whereas, deep learning outperformed both with an accuracy of around 88%. The work presented here
Intact
发表于 2025-3-24 17:08:43
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厨师
发表于 2025-3-24 22:51:54
A Path Towards Understanding Factors Affecting Crash Severity in Autonomous Vehicles Using Currentto predict two categories of consequences for accidents, namely property damage and injury/fatality. The results demonstrate that the proposed methodology and the determinant factors used in the models can predict the consequences of an accident, and more importantly, the probability of a crash cau
Negotiate
发表于 2025-3-25 02:51:30
Automobile Automation and Lifecycle: How Digitalisation and Security Issues Affect the Car as a Proes, we must start thinking cars more as a service and not as a standalone product. We argue that there should be more focus and further research on the issues of software maintenance and new software models to keep the roads safe from outdated and dangerous automated or semi-automated vehicles.