When a major U.S. truck manufacturer recognized there was a huge opportunity to mastermind the implementation of autonomous route capabilities in its fleet of trucks, it searched for embedded computing capable of handling the vast and diverse data. Today’s artificial intelligence (AI), advanced driver-assistance systems (ADAS) and sensors deliver critical data in real time that must be monitored and processed  when used in autonomous fleet routing systems. This requires an industrial-grade embedded system data logger capable of providing a reliable, rugged and high-performance architectural system to support such autonomous routing.

The country’s reliance on truck fleets was clearly visible during the COVID-19 crisis. Product shortages, delivery speeds, logistics nightmares were all painfully apparent. Yet, according to the Business Insider, 71% of all freight in the U.S. is moved via trucks even during a non-pandemic year.

This case study shows how this fleet manufacturer selected and implemented Premio’s rugged computing technology to further its autonomous routing capabilities. This case study will discuss the criteria established and the successful implementation of Premio in-vehicle telematics computers in the framework of autonomous driving.   

Autonomous Fleet Routing Challenges

The fleet and truck manufacturer dealt with four main challenges in its quest to support autonomous routing capabilities. It required:

  • A ruggedized computing solution that withstands wide operating temperatures, shock and vibration. Although the solution is housed within a truck’s-controlled environment, the vehicles often sit out in the sun, or drive through terrain causing substantial vibration and shock — all detrimental to the electronic equipment.
  • Substantial real-time decision-making capabilities.  This backbone of autonomy provides telematics information on where the vehicle is and how fast the vehicle is going — data used to train autonomous driving neural networks.
  • Large storage capacity for long-haul driving data and 10GbE connection to move data bi-directionally tying back to all of the telematics and improvements