理想TOP2·2025-10-21 03:13Core Insights - The article discusses advancements in autonomous driving technology, particularly focusing on Tesla's use of similar techniques as VLA in their V14 model, highlighting the importance of spatial understanding and multitasking capabilities [1][2] - Ashok Elluswamy, Tesla's AI software VP, emphasized the integration of various data sources in Tesla's Full Self-Driving (FSD) system during a workshop at ICCV 2025, indicating a significant upgrade in their autonomous driving capabilities [1][2] Group 1: Tesla's Technological Advancements - Tesla's V14 model utilizes technology akin to VLA, showcasing enhanced spatial comprehension and multitasking abilities, which are critical for long-duration tasks [1] - Elluswamy's presentation at ICCV 2025 highlighted the FSD system's reliance on a comprehensive network that incorporates camera data, LBS positioning, and audio inputs, culminating in action execution [1][2] Group 2: ICCV 2025 Workshop Details - The ICCV 2025 workshop focused on distilling foundation models for autonomous driving, aiming to improve the deployment of large models like vision-language models and generative AI in vehicles [3] - Key topics included foundational models for robotics, knowledge distillation, and multimodal fusion, indicating a broad exploration of AI applications in autonomous driving [6][7]