Through industry–academia collaboration, a joint research team developed an Integrated Network-Computing Load Balancing ("INCL Balancing") simulator optimized for next-generation 6G services. This is ...

Synthetic traffic scenarios can be created in realistic detail so that a comprehensive driving environment is presented to an Autonomous Driving system. Foretellix, a provider of data-automation for ...

LeddarTech Holdings Inc. has announced the launch of LeddarSim™, a cutting-edge simulation platform designed to enhance the development and testing of advanced driver assistance systems (ADAS) and ...

Through industry–academia collaboration, a joint research team consisting of professors Choi Ji-woong, Jwa Hoon-seung, and Kim Baek-gyu from the Department of Electrical Engineering and Computer ...

Nvidia’s GTC conference kicked off with a series of announcements highlighting its role in advancing autonomous driving technology. The chipmaker provides automakers and autonomous vehicle companies ...

Montage of real world scenarios generated by Gatik's Arena simulation platform for use in developing and training autonomous delivery trucks. Autonomous middle-mile delivery trucking company Gatik has ...

Pony AI Inc. has announced a strategic partnership with Tencent Cloud, aiming to advance autonomous driving technology and speed up the commercialization of Robotaxi services. This collaboration will ...

Honda’s NOA system operates on an end-to-end AI framework, managing all aspects of driving. Credit: Tricky_Shark/Shutterstock.com. Honda Motor and US-based ...

Safely achieving end-to-end autonomous driving is the cornerstone of Level 4 autonomy and the primary reason it hasn’t been widely adopted. The main difference between Level 3 and Level 4 is the ...

SAE International and the International Organization for Standardization (ISO) define six levels of autonomous driving, from 0 to 5. The key difference between L3 and L4 is that L3 is conditional ...