Civil Maps, an edge-based HD mapping and localization specialist for autonomous vehicles, has ported its vehicular cognition stack to run on the Arm family of processors. The migration marks a disruptive paradigm shift in which self-driving car developers can leverage an Arm SoC with Civil Maps embedded software for enabling vehicles to navigate safely and localize on the road. According to the company, no other competing solutions, which commonly rely on x86 and/or GPU-based architectures, offer developers a path to production-scale vehicle autonomy.
The Arm-powered HD maps and localization solution will enable greater levels of reliability and efficiency while overcoming chronic limitations of power consumption, CPU, storage, and network requirements. The timing of the transition coincides with the automotive industry’s adoption of Arm technology for electronic control units (ECU) that manage an expanding range of in-vehicle systems.
As part of the transition, Civil Maps has optimized core components of its algorithms and software for the Arm CPU architecture. The efficiency of Civil Maps’ exclusive Fingerprint Base Map technology allows the company to leverage the Arm Neural Network accelerators in these low-power, low-cost SoCs. To learn more, visit Civil Maps.