There are a few key players in the world of automotive artificial intelligence. Waymo LLC, headquartered in California, is one such company. Waymo produces self-driving cars that can be controlled by humans. The technology behind these vehicles uses artificial intelligence and machine learning to create the systems necessary for the cars to operate on their own. Microsoft, another automotive AI company, provides intelligent cloud, edge computing for massive data ingestion and storage, and deep learning AI.
The aiMotive automotive AI company has had customers since day one. Its customers include Volvo, BSA Group, and Kyocera, among others. The company is helping others create better chips for automobiles by writing, simulating, and road testing software. Unlike some other automotive AI companies, aiMotive has revenue from customers from day one. The company also plans to develop more modules for autonomous vehicles, including a module to help drivers navigate freeway exits.
Founded in Budapest, Hungary, aiMotive now employs more than 200 people worldwide. Of this number, 140 are based in Budapest. Another 30 are specialized artificial intelligence researchers. In addition to Budapest, aiMotive has offices in Mountain View, California, and Yokohama, Japan. The Mountain View office will focus on customer support and testing while the Budapest office will focus on research.
With its unique position as a leading supplier of automated driving technology, aiMotive has been able to grow from a small, European startup to a global automotive player. The company has invested in advanced software development and has one of the largest AI research and development teams in Europe. The company is also working with leading automotive partners on mass-production products. AImotive is a leading player in the industry, so it’s not surprising that aiMotive has offices in the US, Japan, and Hungary.
Renesas Automotive AI Company develops cutting-edge chip solutions for the advancement of ADAS. The application of this technology requires high-performance computing capabilities to recognize objects and perform various tasks. System-on-chips provide these processing capabilities. The company also provides advanced sensor technologies for ADAS applications. Its latest products include R-Car V3U and Renesas AI Engine. The company will collaborate with automakers to provide ISO26262-compliant solutions to the automotive industry.
The Renesas R-CAR H3 board is a high-performance computer vision processor that supports ADAS and autonomous driving applications. Its deep learning image recognition model is ported to an automotive-qualified processor and the highest scoring prediction is added as a label to the input image. The Vueron solution is deployed on automotive-qualified processors, enabling the vehicle to detect objects and provide the necessary information for ADAS. It has been deployed in many cars worldwide and is currently gaining recognition as one of the first autonomous driving licenses to use only one LiDAR sensor.
Renesas also supports Tier1 development of ADAS and automated driving functions through the HAD Solution Kit. Its HAD Solution Kit enables vehicle-to-vehicle and vehicle-to-infrastructure communication. Renesas can help developers better understand the challenges and benefits of integration and synchronization and can move closer to fully automated drive functions. Its new HAD Solution Kit is expected to significantly speed up the development process of automated driving.
In addition to the development of autonomous vehicles, Argo AI is also able to monitor traffic situations. This system is continuously monitored by experts in test vehicles. As such, it undergoes millions of simulations to determine its performance under various conditions. The goal is to eventually create an autonomous car that is much more vigilant than a human driver. In time, this will lead to a reduction in traffic accidents. Ford has already invested $1 billion in Argo AI.
The company is also working with Lyft to scale the deployment of autonomous vehicles. It works with Lyft to validate localized safety data. Lyft also receives a 2.5% equity stake in Argo. The company is committed to creating sustainable business models, but it also emphasizes the importance of collaboration. Argo has already been testing its autonomous vehicle technology in Ford vehicles around Palo Alto for more than a year. It will soon deploy these cars on the Lyft ridesharing network and will partner with more automotive companies.
The company also plans to open offices in the Bay Area and Southeastern Michigan. Its Pittsburgh headquarters will be home to more than one hundred employees. Its engineering hubs are in California and Michigan. While the company will initially focus on Ford’s autonomous vehicle development and production, it might eventually license its technology to other companies. The future of autonomous vehicles is bright. With the help of AI, cars can be driven by themselves. Argo AI plans to make this possible by the year 2025.