Core Viewpoint - The recent power outage in San Francisco highlighted the vulnerabilities of autonomous driving systems, particularly Waymo's, as their vehicles became immobilized and caused traffic chaos, contrasting with Tesla's unaffected Robotaxi service during the same incident [1][13][47]. Group 1: Incident Overview - A significant power outage in San Francisco disrupted the entire city's public transportation system and traffic signals, affecting up to 130,000 users during a peak shopping season [15]. - Waymo's autonomous vehicles became stranded at intersections and main roads, unable to move, effectively turning into "roadblocks" [4][6][7]. - The incident sparked widespread discussion on social media, showcasing the limitations of AI-driven systems in unexpected situations [8][12]. Group 2: Waymo's Response and Technology - Waymo temporarily suspended its ride-hailing service in the Bay Area and stated it was working closely with city officials to monitor infrastructure conditions [10]. - The power outage exposed a critical weakness in Waymo's reliance on a multi-sensor fusion system, which includes lidar, radar, cameras, and high-definition maps, as it struggled to operate without functioning traffic signals [22][24]. - The incident raised questions about the system's ability to handle chaotic urban environments, where predictable behavior is disrupted [33][35]. Group 3: Comparison with Tesla - In stark contrast, Tesla's vehicles, which rely primarily on cameras and AI, continued to operate without interruption during the outage, highlighting a fundamental difference in their technological approaches [48][49]. - While Waymo's system opted for a conservative risk management strategy by halting operations, Tesla's approach emphasizes adaptability in unpredictable conditions [51][52]. - The event underscored the ongoing debate about the reliability of autonomous driving technologies and the need for better solutions to handle sudden urban disruptions [55][56].
旧金山全城瘫痪!Waymo断电变「废铁」,马斯克纯视觉赢麻了