A new technical paper titled “Road Boundary Detection Using 4D mmWave Radar for Autonomous Driving ... path planning in autonomous driving and advanced driver-assistance systems (ADAS). Traditionally, ...

Abstract: This letter presents the development of a real-time object detection system using frequency modulated continuous wave millimeter-wave (mmWave) radar signals and the python productivity ...

Rashmi Venugopal explains the core principles of renovating legacy software architecture ... network aims to develop an AI-powered early detection system for lung cancer, leveraging patient ...

Arm has announced the availability of the first public specification drafted around its Chiplet System Architecture ... to-chip (C2C) architecture specification to connect artificial intelligence (AI) ...

The first public specification of the Chiplet System Architecture (CSA ... can be reused in different devices and be fabricated using different processes, materials, and even nodes, with each ...

This guide outlines a detailed process for setting up the hardware, configuring the software, and implementing Python-based object detection, counting, and positional tracking. By using pre-built ...

which might affect the accuracy of the model if the input image has a different aspect ratio compared to the input size of the model. Always try to get an input size with a ratio close to the input ...

This approach allows a diverse range of industry stakeholders to contribute improved subcomponents, ranging from innovative detection algorithms to user interfaces and reporting systems. The success ...

Another use for 3D object detection networks is the pre-labeling of raw data for deep-learning perception systems. This would greatly reduce the cost of manual annotation, accelerating ...