Autonomous Driving

Today's Stories

1. 1

   Xiaomi expands in-house chips to AI and self-driving

   Xiaomi is expanding its in-house semiconductor push from smartphones into AI acceleration and autonomous driving, unveiling three Xring processors. The move deepens Xiaomi's reliance on TSMC manufacturing while reducing dependence on external chip suppliers.

   The three Xring processors are aimed at AI acceleration and autonomous driving, marking a broader strategic shift for Xiaomi beyond smartphones.

2. 2

   Robot lawn mowers eye 50% US household share in 8 years

   AI, satellite navigation, and autonomous systems are transforming robotic lawn mowers from a niche product into a mainstream platform. The global lawn mower market generated $35.2 million in 2025 and is projected to reach $63.2 million by 2033. Market analysis suggests the U.S. robotic lawn mower market could approach 50% household penetration over the next eight years as costs fall and AI capabilities improve. Modern robotic mowers now use realtime kinematics (RTK) technology for centimeter-level positioning accuracy and 4G connectivity for cloud communication, enabling real-time obstacle avoidance and route optimization with minimal human intervention. This removes the installation complexity and maintenance burden that limited earlier models, making the technology viable for larger, more complex lawns typical across North America.

   The main barrier to adoption is no longer technological but cultural—consumer awareness and perception. The commercial landscaping industry, which faces labor shortages and grows at an average annual rate of 6.5% between 2020 and 2025, represents a significant expansion opportunity; lightweight commercial models are already entering the market, with more robust systems expected in coming years.

3. 3

   TIER IV, Renesas team on open AI platform for self-driving cars

   TIER IV and Renesas have begun a collaboration to build an open AI-native computing platform for autonomous vehicles, combining open-source software, advanced chips, and scalable tools. Automakers are seeking more flexible platforms to support AI-driven features in self-driving and software-defined vehicles. This joint effort aims to accelerate safer mobility across Asia, Europe, and North America by providing integrated hardware and software.

   The body does not specify timelines, pricing, or rollout dates for the platform.