Intrepid Control Systems (USA) introduced its autonomousONE motherboard, an all-in-one data-logger that combines various inputs into a single open platform.

The data-logger strives to assist automakers, suppliers, and automotive vehicle researchers in speeding up their autonomous vehicle development by substituting a trunk full of devices with a single interface device. The device links multiple components of autonomous technology, including the autonomous CPU (CPU Card), GPS/GNSS, and connectors for numerous types of sensors including cameras, radar, Lidar, and other inputs The autonomousONE unit comes with up to 24 CAN Bus or CAN FD as well as 18 LIN Bus interfaces.

The product supports time synchronization of all data via CAN FD, Ethernet, or GPS PPS. The FPGA hardware design requires no software or compute overhead. A removable storage solution based on up to 64 TiB is also supported.

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Creating Autonomous Vehicle Systems

This book is the first technical overview of autonomous vehicles written for broad computing and engineering audience. The authors share their practical experiences of building autonomous vehicle systems. These systems are complex, consisting of three major subsystems:

1. Algorithms for localization, perception, and planning and control
2. Client systems, such as the robotics operating system and hardware platform
3. The cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and in-depth learning model training.

The algorithm subsystem elicits significant information from raw sensor data to interpret its environment and make judgments about its activities. The client subsystem combines these algorithms to meet real-time and reliability specifications. 

The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we can test new algorithms and update the HD map-plus, train improved recognition, tracking, and decision models.

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