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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