Autonomous & Self-Driving Vehicle News: Motional, Hyundai, Arbe & Cognata

In autonomous and self-driving vehicle news are Motional, Hyundai, Arbe & Cognata.

Motional Hyundai INOIQ 5 Robotaxis to be Make In Singapore

Hyundai Motor Group (the Group) and Motional — a global autonomous technology leader — celebrated the opening of the Hyundai Motor Group Innovation Center Singapore (HMGICS) and announce that Hyundai and Motional’s jointly developed all-electric IONIQ 5 robotaxi will be manufactured at HMGICS. The first production-ready IONIQ 5 robotaxis will be deployed as part of Motional’s commercial services in the U.S., starting in 2024.

Additionally, Motional and the Group revealed today that the IONIQ 5 robotaxi is one of the first SAE Level 4 autonomous vehicles (AVs) to be certified under the U.S. Federal Motor Vehicle Safety Standards (FMVSS). The certification is a testament to the vehicle’s incredibly thorough development and testing program, its safety and reliability, and the sophistication of the autonomous technology, according to Motional President and CEO Karl Iagnemma.

“HMGICS is a vision for transportation innovation,” Iagnemma said. “We’re enormously proud to have the IONIQ 5 robotaxi manufactured at this facility and look forward to introducing the world to some of the first-ever FMVSS-certified autonomous vehicles. It’s through the strength of our collaboration with Hyundai that we were able to develop an industry-leading robotaxi that meets rigorous federal standards and is ready for mass commercialization.”

Commenting on HMGICS’ role in bringing the IONIQ 5 robotaxi from development to production reality, CEO of HMGICS, Hong Bum Jung, said: “HMGICS stands as Hyundai Motor Group’s first global innovation hub and global test bed for future mobility. Our mission at HMGICS is to revolutionize the mobility value chain by developing and producing advanced and diverse forms of future mobility solutions. Commencing production of the IONIQ 5 robotaxi in collaboration with Motional, we are committed to a continuous journey of innovation, aiming to spearhead the paradigm shift in the future of mobility.”

HMGICS combines advanced automation and real-time monitoring and data evaluation to push the boundaries of what’s possible in production. It’s also equipped with advanced features bespoke to HMGICS to support AV production, including testing facilities and a calibration center. Motional has deployed a team on site to assist with production. These employees are located at the Autonomous Vehicle Integration Center and will perform critical diagnostics, software development, calibration and validation tasks to ensure that finished examples of the IONIQ 5 robotaxi meet exacting specifications and are ready for deployment.

Motional and the Group have been preparing for the production of the breakthrough IONIQ 5 robotaxi for several years, including the development of a limited series of prototype vehicles that have been tested in the U.S. and Singapore for over a year. The initial fleet of IONIQ 5 robotaxis recently completed a series of evaluations designed to demonstrate the quality, performance, and maturity of the robotaxi and its autonomous driving technology. Commercial production of the IONIQ 5 robotaxi is underway, and the first models have already arrived at Motional’s facility in the U.S. The vehicles are undergoing Motional’s rigorous testing and safety validation processes before beginning commercial service in 2024.

Arbe Awarded Award

Arbe Robotics Ltd. (NASDAQ: ARBE), a global leader in Perception Radar Solutions, announced  that Cars of the Future awarded the company the Self-Driving Industry 2023 Award in the hardware category.

Cars of the Future celebrates excellence in connected and automated mobility internationally. Arbe was selected among other winning companies, including: Angoka, Applied EV, Beam, Burges Salmon, CCAV, CMA, Dromos, Fusion, Kodiak, Leddartech, Marsh, OXA, PIX, Reed Mobility, Stagecoach, and Venson.

“We are honored to have been chosen by Cars of the Future for this prestigious award,” says Kobi Marenko, Chief Executive Officer at Arbe. “Our perception radar has truly reinvented radar, providing the most advanced capabilities on the market with the goal of providing the technological backdrop for some of the most sophisticated cars of the future.”

Arbe’s Perception Radar revolutionizes automotive sensing, providing unmatched safety to the market. Distinguished by its ultra-high resolution and top-notch radar image quality, Arbe redefines radar as a sensor, providing advanced perception capabilities at a mass-market price. This groundbreaking technology ensures trustworthy data in all environments, weather, and lighting conditions. It is the first radar to track vulnerable road users such as pedestrians and bicycle riders, detect object boundaries, separate adjacent objects by elevation and azimuth while eliminating false alarms, resolving the factors behind Advanced Driver Assistance Systems (ADAS) related accidents. Arbe’s radar technology bridges the sensor gap with the industry’s only radar offering accurate Free Space mapping across all driving scenarios, paving the way for genuinely safe hands-free driving experiences.

Coganta Selected

Cognata LTD announces today that MLCommons, a leading global engineering consortium, has officially selected Cognata’s high-precision AI simulation dataset for use in the MLPerf Automotive benchmark suite. Rooted in cutting-edge technology, Cognata’s automotive-grade, digital twin-based datasets will be used to measure industry benchmarks and improve practices in machine learning model training for the automotive industry.

Cognata’s datasets are based on a photorealistic simulation platform where virtual cars travel virtual roads, from cities to unmarked terrain, all true to real-world conditions. With advanced sensor modeling, Cognata’s AI-based Mobility traffic layers help engineers understand and analyze safety scenarios.

This collaboration fuses MLCommons’ commitment to improving machine learning for everyone with Cognata’s expertise in generating fully annotated, photorealistic synthetic datasets. These datasets are targeted for automotive sensors and are meticulously designed to detect vehicles and pedestrians. With over 20,000 unique frames, the dataset allows for full comparability and bias elimination.