Autotalks' C-V2X solution demonstrates market readiness in China
Autotalks announced that it has successfully showcased its chipset’s conformance to the Chinese C-V2X standard and the Chinese OSCCA security standard. This demo brought together over 20 automotive companies which formed about 50 demonstration teams including leading automakers, all major chip-makers, and terminal and security solution providers working together in a real-world setting. The IMT-2020 / CAICV (China Industry Innovation Alliance for Intelligent and Connected Vehicles) / China SAE 2019 C-V2X “Four Layers” Interoperability Application Demonstration was part of the China SAE Congress and Exhibition that was held on October 22-24 in Shanghai, China.
Autotalks’ chipset was used by five different automakers: Renault-Nissan, Brilliance Auto, FAW, Great Wall, and another major European OEM, which conducted demonstration rides for visitors in order to exhibit conformance and interoperability at the following levels: chipset, system, software, and security. The demonstration included both vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) applications with security enabled according to Chinese OSCCA standard for the first time. Protection of the V2X system against cybersecurity attacks through road side units (RSUs) was also exhibited through the demonstration rides.
“We are very proud to reach this important milestone in the fast-growing Intelligent Connected Vehicle (ICV) market in China,” explained Ram Shallom, VP Business Development and Marketing in APAC at Autotalks. “The recent successful end-to-end C-V2X demonstration with five carmakers and our ecosystem partners shows the maturity of our C-V2X technology towards mass deployment in China and globally.”
Autotalks’ automotive qualified chipsets are intended to help reduce collisions on roadways and improve mobility. The chipsets offer global V2X communication for autonomous vehicles. Autotalks’ technology, to be mass deployed in the coming years, complements the information coming from other sensors, specifically in non-line-of-sight scenarios, rough weather, or poor lighting conditions. It aims to improve overall road safety, effectively coordinating vehicles, self-driving cars, motorcyclists, and pedestrians.