Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due ...

Self-driving cars need to implement ... IoT-enabled end-to-end system for 3D object detection in real time based on deep learning and specialized for autonomous driving situations.

Google has released TensorFlow 3D, a library that adds 3D deep-learning ... for autonomous driving. In addition, research in 3D scene understanding, such as 3D object detection (e.g. cars ...

Object detection is used in many different domains, including autonomous driving, video surveillance, and healthcare. In this post, I will briefly review the deep learning architectures that ...

Object detection is used in many different domains, including autonomous driving, video surveillance, and healthcare. In this post, I will briefly review the deep learning architectures that ...

Laser spoofing could result in a lack of detection or falsified object ... many autonomous vehicle developers use lidar, known in the long form as Light Detection and Ranging. Using pulsed lasers ...

Traditional approaches to autonomous vehicles ... vs Unsupervised Learning Supervised learning entails using labelled training data sets as inputs and outputs to a DNN (Deep Neural Network ...

So, what do autonomous vehicles have in common with ... opportunities to achieve a desired goal. Using machine learning, specifically deep learning tools, platforms have enabled advertisers ...