Enhancing Reliability: Developing Autonomous Vehicles with Enhanced Safety and Security Standards
The transition to fully autonomous vehicles is no longer a distant dream, but a necessary step towards delivering Level 5 autonomous driving. This transformation is bringing significant value to Original Equipment Manufacturers (OEMs) and end-consumers alike.
The shift from a rigid hardware platform to a fully systems-based software platform is crucial. This change promises reduced wiring, weight reduction, increased performance and driving range, lower manufacturing costs, and shorter manufacturing times. Major changes to automotive architectures and supply chains are essential for realizing the dream of fully autonomous driving.
Autonomous vehicles require architectures that allow subsystems to work together and exchange data in real-time to make intelligent decisions. This necessitates an open, integrated hardware and software systems architecture. Companies like Wave Computing are at the forefront of this revolution, offering SoC solutions specifically for the automotive industry.
Wave Computing's TritonAI 64 IP platform enables developers to address a wide range of automotive AI use cases with a single comprehensive platform. Moreover, they offer MIPS technology-based ISO-26262 certified processors, designed to develop, edit, and scale vehicle software architectures of OEMs in a secure environment.
The workflow in a typical OEM has a long lead time and cycle, with ideas taking several years to mature and product engineering taking around 3-4.5 years. However, the timeline for the realization of fully autonomous driving can vary, ranging from next year to a decade.
As of 2019, the majority of vehicles for sale are only capable of level 2 assistance features, which include steering and brake/acceleration support, lane centering, and adaptive cruise control. A few OEMs are working towards Level 3 & 4 automation, where the car can take over most driving functions but the driver must still be able to intervene at any time.
Tesla, a pioneer in this field, has already established a software working environment and is pushing new autonomous and AI benchmarks. They have set the end-picture and future benchmark for cabling requirements, as evidenced by the Tesla Model Y, which has about 100 meters of wiring compared to about 5 kilometers in other vehicles.
To achieve safe, secure, and smart fully autonomous vehicles, a transition to a complete automotive platform inclusive of AI-enabled microprocessors, software, new architectures, and levels of performance is required. The transformation of automotive architectures and supply chains is critical for delivering Level 5 autonomous vehicles, and companies like Wave Computing are leading the charge.
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