Computational RAM and GTM: an autonomous driving-oriented processor in memory
keywords AUTONOMOUS GUIDED VEHICLES, COMPUTATIONAL TOPOLOGY, ALGORITHMS DEVELOPMENT, VLSI ARCHITECTURES, VIDEO COMPRESSION
Reference persons LUCA STERPONE
Research Groups DAUIN - AEROSPACE AND SAFETY COMPUTING LAB
Description Today, autonomous driving applications require an efficient and reliable computational power in order to achieve completely self-driving car on a robotic vehicle. The main goal of the present thesis is the development of a processing core for image elaboration and based on the computational RAM technique. The thesis is done in cooperation with Punch Softronix.
Deadline 26/01/2024 PROPONI LA TUA CANDIDATURA