Tesla has spent years arguing that a camera‑centric approach to driver assistance can match or surpass the performance of ...
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM ...
Abstract: Several studies have been conducted to investigate the security and reliability of object detection systems in Autonomous Vehicles (AVs), which rely on sensors such as cameras and Light ...
Event-based cameras are sensors inspired by the human eye, offering advantages such as high-speed robustness and low power consumption. Established deep learning techniques have proven effective in ...
Geological disaster susceptibility assessment provides a critical foundation for disaster prevention, mitigation, and formulation of governmental reduction policies and emergency management strategies ...
To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...
A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...