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Driver 2.0 solution will be elevated and enhanced with more energy efficiency and smart autonomous driving.
Vice President of DeepRoute.ai, Nianqiu Liu, delivered a keynote speech at APEC SME Business Forum on the topic of "Higher level autonomous vehicles in mass production, leading the autonomous driving industry to a faster reality."
Microsoft Azure Cloud Service will Enhance Safety of Self-Driving Systems
DeepRoute.ai released a video exhibiting a driverless vehicle retrofitted with a production-ready L4 solution on Central Business District roads in Shenzhen, demonstrating its advanced capacity in complex and challenging traffic environments. This marks the first legalized driverless test in China as Shenzhen unveiled China's first regulation on intelligent connected vehicles on July 6, 2022.
The first commercial deployment of autonomous driving medium-duty trucks in China.
To achieve mass production of autonomous vehicles, we think there are 3 prerequisites: auto-grade sensors, chips and HD maps, all of which are powered by algorithm and toolchain.
DeepRoute.ai announces a leading-edge Robotaxi fleet equipped with its distinctive L4 autonomous driving solution, Driver 2.0. Engineered for mass production and adoption by automakers, this advancement in AV technology previews what’s to come in the transportation industry and the future of L4 consumer vehicles.
Following a recent outbreak of the COVID-19 Omicron variant in Shenzhen, China, DeepRoute.ai mobilized two medium-duty trucks with level 4 autonomous driving capabilities to deliver goods and facilities into the control area.
Concurrent with NVIDIA GTC 2022, DeepRoute.ai will integrate the NVIDIA DRIVE Hyperion AV computing architecture into its Level 4 autonomous driving solution.
DeepRoute.ai sets aggressive pricing to make its award-winning self-driving technology more accessible and available sooner to consumer market.
On September 14, 202, DeepRoute.ai announced it has closed a Series B funding round with the investment totaling to more than $300 million USD. The funding will further research and development, help scale automaker collaboration and fleet operation, and support the expansion of the team.