How Truck Operators Can Maximize Fleet Utilization with Self-Driving Trucks
Truck operators have high hopes for self-driving technology, which promises to keep vehicles on the road and fully utilize vehicle investments. Indeed, autonomous vehicle developers are already investing heavily in this emerging technology. Their greatest challenge is finding rock-solid computing hardware to provide uninterrupted operation under heavy AI computing workloads and extreme temperatures.
Industry | Transportation |
End-Use Scenario | Self-Driving Trucks |
Innodisk Solution |
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Uninterrupted Performance
Self-driving trucks require high-performance computing systems capable of delivering seamless, stable, and uninterrupted operation under constant duress, where even a momentary failure could have catastrophic consequences.
Environmental Endurance
The systems must withstand temperature extremes, shocks, vibrations, and traffic-related pollutants that can cause corrosion, loosen parts, or compromise performance.
Hardware Reliability
Robust components are essential to maintain operational reliability under the constant physical strain of road conditions and exposure to the elements.
Fleet Management Efficiency
Connected trucks enable real-time data collection from sensors for vehicle monitoring, tracking, and operational analysis, improving fleet management and safety.
Data Security Challenges
With vast amounts of data being exchanged between vehicles and central systems, secure and reliable communication networks are crucial to protect against unauthorized access and ensure data integrity.
Innodisk provides four solutions that can handle the temperature extremes in autonomous vehicles in varied environments. Available options include DDR5 Wide Temperature RDIMM with rugged clips to adapt to different weather conditions and vibrations, MicroSD card for fast and secure high-speed data writing, CAN Bus module for ECU communications, and embedded-focused Aetina GPU with 8K video processing for SWaP-constrained environments.
Innodisk’s range of durable, wide-temperature products ensures that the driverless technology solutions for various autonomous vehicle applications will run flawlessly in a wide range of temperatures, provide the performance needed to tackle intensive AI workloads and enable optimal fleet utilization with comprehensive fleet management.
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