Core Viewpoint - The article discusses the differences between Robotaxi services and mass-produced passenger vehicles equipped with intelligent driving systems, highlighting their distinct operational models, technological paths, and market dynamics [2][4][5]. Group 1: Differences in Operational Models - Robotaxi services are based on a commercial operation logic, aiming to replace human drivers and generate revenue through passenger fares, focusing on absolute safety in limited scenarios [4][5]. - In contrast, mass-produced passenger vehicles aim to enhance vehicle appeal and value, facing broader safety challenges across various driving environments, including complex urban settings [5][18]. Group 2: Technological Pathways - Robotaxi typically employs a multi-sensor fusion approach combined with high-definition maps, ensuring high safety and reliability in specific operational areas [4][9]. - Mass-produced vehicles, represented by companies like Tesla and Xpeng, often utilize a pure vision approach or a multi-sensor fusion strategy, focusing on real-time data analysis rather than relying heavily on high-definition maps [9][10]. Group 3: Hardware and Development Costs - The hardware costs for Robotaxi are significantly higher, with sensor costs reaching tens of thousands of dollars per vehicle, and typically equipped with around 30 sensors [9][10]. - Mass-produced vehicles generally have fewer sensors, often around 20, and are more cost-sensitive, leading to a different balance between cost, performance, and adaptability [10][18]. Group 4: Responsibility and Scale - In the Robotaxi model, the operating company bears full responsibility for the entire service process, while in mass-produced vehicles, the responsibility is more complex, with drivers retaining primary responsibility [18][19]. - The scale of deployment also differs significantly, with Robotaxi operating a few thousand units compared to the millions of mass-produced vehicles equipped with intelligent driving systems [18][19]. Group 5: Perception of Difficulty - Robotaxi operators view difficulty based on operational speed and safety, often achieving driverless operation in urban areas while being cautious in more complex environments like highways [19]. - Conversely, mass-produced vehicle manufacturers face challenges in urban settings, where the complexity of driving conditions increases significantly, making it a primary focus for competition [19][21].
Robotaxi和家用智驾的差别在哪