Tesla sets Q2 2027 for privately owned cars to join its robotaxi network, detailing remarks, past delays, and regulatory hurdles.

🚨 GM Reveals Generation 4 EV Platform and Central Compute General Motors has announced an extensive technological transformation centered on artificial intelligence, software virtualization, and centralized computing. At the GM Forward event, the a

🚨 GM Expands Autonomous Highway Tech Across Pickups and SUVs General Motors has announced a major expansion of its personal autonomy roadmap, confirming plans to bring autonomous highway driving technology to its highest-volume vehicle segments. Fo

🚨 Stellantis, Wayve, and NVIDIA Partner for AVs in France Stellantis, London-based embodied artificial intelligence developer Wayve, and computing giant NVIDIA have officially announced a strategic collaboration alongside the French Government. Rev

Tesla Develops In-House AI Navigation System for FSD v15 During the latest Tesla earnings call, Vice President Ashok Elluswamy announced a new initiative. The company is developing an in-house, AI-driven map and navigation system. This innovative mapping solution will debut alongside FSD v15. It integrates fleet-gathered data and personalized route planning. Furthermore, it completely supports advanced FSD voice controls. Current Navigation Limitations…

🚨 Mercedes-Benz Debuts Point-to-Point Driving System Mercedes-Benz has announced the introduction of MB.DRIVE ASSIST PRO, marking the debut of urban point-to-point semi-automated driving for the German market. Developed in collaboration with NVIDIA

inDrive 로보택시가 2027년 카자흐스탄 아스타나에서 시험 주행을 시작할 예정입니다. 중국 자율주행 기업 Pony.ai와 엔비디아가 협력하고, inDrive는 자사 호출 앱에 차량을 연결하는 구상입니다. 초기에는 안전요원이 동승하고, 장기적으로 완전 무인 운행을 목표로 합니다.

Ride-hailing company inDrive, known for its fare negotiation model, has announced plans to test autonomous vehicles in Kazakhstan starting in 2027. The company is collaborating with Chinese autonomous driving firm Pony.ai and technology giant Nvidia to bring robotaxis to its platform. The testing will begin in Astana, Kazakhstan's capital, during the first half of 2027, initially with safety operators on board, with fully driverless rides as the long-term goal. Pony.ai will provide its Gen-7 robotaxis, which will be integrated into inDrive's app, while Nvidia will supply its Hyperion platform and Halos safety system. This move aligns with broader industry trends as ride-hailing companies expand their autonomous vehicle initiatives. Uber recently announced similar plans for London, where it is testing autonomous rides with Wayve. inDrive's CTO Yuri Misnik emphasized their capital-light approach, working with partners to combine expertise for better customer experience. Nvidia's Ali Kani noted that their Hyperion platform could reduce development costs by providing a ready-made foundation of sensors and computing technology. The announcement coincides with Nvidia CEO Jensen Huang's first visit to Kazakhstan. Kazakhstan's harsh winter conditions in Astana present a unique testing environment for autonomous driving systems, which could provide valuable insights for expanding to other regions with similar challenges. The country has also introduced regulations for autonomous vehicle testing on public roads. inDrive is also exploring autonomous vehicle partnerships in Saudi Arabia with AI Driver and WeRide, targeting a 2026 pilot in Riyadh. The company operates in over 1,200 cities across 47 countries and has expanded beyond ride-hailing into delivery, intercity transportation, and financial services. Pony.ai aims to have over 3,500 robotaxis operating in more than 20 cities worldwide by end of 2026, up from 1,975 vehicles at the end of June. This development marks a significant step in bringing autonomous ride-hailing to Central Asia, a market where Uber and other competitors are already making moves.

Bolt selects NVIDIA Alpamayo Stack for European robotaxis, starting with Lucid vehicles in Madrid in 2027. We explore technology, strategy and fleet plans.

I'm super excited to share this amazing #pointcloud video of East Boston, near Logan Airport! 🛫 This is a great example of just how challenging multi-level #road infrastructure can be for 3D mappin...

I'm super excited to share this amazing #pointcloud video of East Boston, near Logan Airport! 🛫 This is a great example of just how challenging multi-level #road infrastructure can be for 3D mappin...