Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Yaxin Bi,Rahul Bhatia,Supriya Kapoor Conference proceedings 2020 Springer Nature

阴郁

字谜游戏

Heart-Attack

大炮

Yuri Monakhov,Oleg Nikitin,Anna Kuznetsova,Alexey Kharlamov,Alexandr Amochkin

NIB

Type-1-Diabetes

Terrace

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

厨师

A Path Towards Understanding Factors Affecting Crash Severity in Autonomous Vehicles Using Current to 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

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focus and further research on the issues of software maintenance and new software models to keep the roads safe from outdated and dangerous automated or semi-automated vehicles.