大停电后自动驾驶现出原形？Waymo趴窝，马斯克贴脸嘲讽

Core Viewpoint - The recent power outage in San Francisco exposed significant vulnerabilities in autonomous driving technology, particularly highlighting the shortcomings of Waymo's Robotaxi service during a traffic light failure [1][2][3]. Group 1: Incident Overview - A widespread power outage caused all traffic lights in San Francisco to fail, leading to a chaotic traffic situation [1]. - Waymo's Robotaxi, known as Waymo Driver, failed to adapt to the situation, resulting in multiple vehicles stopping and becoming obstacles on the road [2][3]. Group 2: Public Reaction and Criticism - The inability of Waymo Driver to respond appropriately to the traffic light failure drew widespread criticism, with many mocking the service for its lack of basic driving rule comprehension [5][10]. - Waymo's response included halting operations in San Francisco and collaborating with municipal authorities to restore service [10]. Group 3: Competitive Landscape - The incident provided an opportunity for competitors like Tesla to highlight their own autonomous driving capabilities, with Tesla's Full Self-Driving (FSD) reportedly handling the situation more effectively [10][14]. - Elon Musk leveraged the incident to promote Tesla's technology, contrasting it with Waymo's failures and suggesting that Waymo's approach is less effective [14][19]. Group 4: Technical Approaches - Waymo's technology relies heavily on high-definition maps and a rule-based system, which limits its flexibility in unexpected scenarios [17][23]. - In contrast, Tesla employs a more adaptable AI-based approach, allowing for better handling of atypical driving situations, as demonstrated during the power outage [19][23]. Group 5: Future Implications - The incident raises questions about the future of the Robotaxi market, with Tesla potentially poised to challenge Waymo's lead as it prepares to deploy its own autonomous taxi service without a safety driver [21][24]. - Industry experts suggest that the reliance on AI for autonomous driving is crucial for achieving true safety and flexibility, indicating a potential shift in the technological paradigm [23][26].