Xiaomi HyperOS 1.11系列
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认知驱动下的小米智驾,从端到端、世界模型再到VLA......
自动驾驶之心· 2025-11-24 00:03
Core Viewpoint - Xiaomi is making significant investments in intelligent driving technology, focusing on safety, comfort, and efficiency, with safety being the top priority in their development strategy [4][7]. Development Progress - Xiaomi's intelligent driving has progressed through several versions: from high-precision maps for highway NOA (version 24.3) to urban NOA (version 24.5), and moving towards light map and no map versions (version 24.10) [7]. - The company is advancing through three stages of intelligent driving: 1.0 (rule-driven), 2.0 (data-driven), and 3.0 (cognitive-driven), with a focus on VLA (Vision Language Architecture) for the next production phase [7][10]. World Model Features - The world model introduced by Xiaomi has three essential characteristics: diversity in generated scenarios, multimodal input and output, and interactive capabilities that influence vehicle behavior [8][9]. - The world model is designed to enhance model performance through cloud-based data generation, closed-loop simulation, and reinforcement learning, rather than direct action outputs from the vehicle [10]. VLA and Learning Models - VLA is described as an enhancement over end-to-end learning, integrating high-level human knowledge (traffic rules, values) into the driving model [13]. - Xiaomi's development roadmap includes various model training stages, from LLM pre-training to embodied pre-training, with recent advancements in MiMo and MiMo-vl models [13]. Community and Knowledge Sharing - The "Automated Driving Heart Knowledge Sphere" community aims to provide a comprehensive platform for learning and sharing knowledge in the field of autonomous driving, with over 4,000 members and plans to expand [15][26]. - The community offers resources such as technical routes, video tutorials, and Q&A sessions to assist both beginners and advanced learners in the autonomous driving sector [27][30].
小米汽车「安全辅助」大幅提升,20项功能增强行车安心感
Cai Jing Wang· 2025-11-21 04:29
Core Insights - Xiaomi has officially launched the "Xiaomi HAD Enhanced Version" at the Guangzhou Auto Show, focusing on significant upgrades to safety assistance features, enhancing user safety and driving confidence [1] Group 1: Safety Features Upgrade - The upgrade includes a comprehensive enhancement of the AEB (Automatic Emergency Braking) system, introducing forward and rear low-speed collision avoidance assistance, which can identify pedestrians, vehicles, and two-wheeled vehicles at low speeds [1][3] - The AEB system's operational speed range has been expanded from 5-135 km/h to 1-135 km/h for forward and 1-30 km/h for rear, allowing for broader safety coverage [5] - The system now recognizes more static obstacles, such as walls and columns, improving safety in complex environments [5] Group 2: User Experience Enhancements - The vehicle can assist users in various everyday scenarios, such as automatic braking when reversing to avoid obstacles and preventing scraping during low-speed turns [6] - The integration of MAI (Mis-Acceleration Intervention) with AEB helps mitigate risks associated with driver errors, such as mistakenly pressing the accelerator instead of the brake [6][7] Group 3: Emergency Steering Assistance - The new AES (Emergency Steering Assistance) feature allows the vehicle to execute evasive maneuvers in critical situations, particularly when a collision is imminent at speeds between 80-135 km/h [8][10] - AES can identify when a collision is unavoidable and will initiate a lateral maneuver if there is sufficient space, enhancing user safety in extreme scenarios [8][10] - The system utilizes multi-modal perception through laser radar, millimeter-wave radar, and cameras to accurately identify obstacles, even in low visibility conditions [10] Group 4: System Design and User Control - The AES is designed to respect driver intent, ceasing assistance if the driver takes control of the vehicle, ensuring that the driver remains in command [12][13] - Following the update, Xiaomi vehicles now feature 20 safety assistance functions, with ongoing efforts to enhance user safety [12]