Exploring the Development and Evolution of Autonomous Driving Technology: Shared Pilot
探索自动驾驶技术的发展与演进：人机共驾
Mar 26 · 2024
Steve Jobs often referred to the 'crossroads of technology and humanity' in past speeches as the key to innovation and product design. In the field of smart cars, this concept is particularly important. Technology represents the development of autonomous driving technology, while humanity represents a new user experience, both of which complement each other to build an innovative landscape that can disrupt the automotive industry.
乔布斯在过去演讲中经常提到「科技与人文的十字路口」，认为这是创新和产品设计的关键所在。在智能汽车领域，这一理念显得尤为重要。科技代表着自动驾驶技术的发展，而人文则代表了全新的用户体验，两者相辅相成，共同构建出了可以颠覆汽车行业的创新景象。
Smart endpoint systems essentially act as an extension of an individual's capabilities. For example, smartwatches provide blood oxygen and heart rate monitoring, headphones provide noise cancellation and a theater-quality sound experience, and the Apple Vision Pro creates an entirely new endpoint experience. In the automotive sector, the traditional function of transportation is evolving into a complex intelligent endpoint system. Within this system, autonomous driving technology is particularly prominent, and represents a major extension of personal capabilities.
智能终端系统在本质上扮演了对个人能力延伸的角色。举例来说，智能手表具备了血氧和心率监测功能，耳机能够实现降噪并提供影院级的音效体验，而 Apple Vision Pro 更是开创了一个全新的终端体验。在汽车领域，传统的运输功能逐渐演变为一个复杂的智能终端系统。在这个系统中，自动驾驶技术尤为显著，它也是对个人能力的重大延伸。
The development of autonomous driving technology has always been centered on the driver, and the fundamental goal remains driving safety. Although the current technology can already realize autonomous driving, the driver is still a crucial role. In the event of an error in judgment, complex road conditions, and poor environment, the driver needs to intervene in a timely manner to ensure driving safety. At the same time, the automatic driving system will also continue to monitor and assist the driver's driving. Therefore, it can be said that the current stage of automatic driving technology is still in an era of 'human-machine co-driving'.
自动驾驶技术的发展始终以驾驶员为核心，其根本目标仍然是行车安全。尽管目前的技术已经可以实现车辆的自主行驶，但驾驶员仍然是一个至关重要的角色。在自动驾驶出现判断失误、面对复杂路况以及恶劣环境等情况时，驾驶员需要及时介入以确保行车安全。同时，自动驾驶系统也会持续监测和辅助驾驶员的行驶。因此，可以说当前阶段的自动驾驶技术，仍于在一个「人机共驾」的时代。
In the context of human-machine co-driving, vehicles and drivers coexist on the road and collaborate with each other in order to cope with the current road task, make judgments about it and make decisions. However, due to changes in road conditions, weather conditions, time of day, and location, the driving load fluctuates and the role attributes of the driver and vehicle change accordingly. In low load scenarios, the driver has fewer tasks to decide, and the system should help the driver to cope with the occurrence of unexpected scenarios. As the driving load increases, the driver needs to deal with more decision-making tasks in high load scenarios, and the system should help the driver to reduce the number of decision-making tasks.
在人机共驾的背景下，车辆与驾驶员共存于道路上，相互协作以应对当前路况任务，对其做出判断并进行决策。然而，由于道路条件、天气状况、时间和位置等因素的变化，驾驶负荷会随之浮动，驾驶员与车辆的角色属性也会相应变化。在低负荷场景下，驾驶员所需要决策的任务较少，此时系统应帮助驾驶员来应对突发场景的发生。而随着驾驶负荷的提升，在高负荷场景下，驾驶员需要处理较多的决策任务，此时系统应帮助驾驶员减少需要决策的任务数量。
The concept of human-machine co-driving implies that autonomous driving is still an "in-process" technology. In the automatic driving scenario, the proportion of the driver and the vehicle in control of the road has been significantly improved compared to the past, and an important step has been taken towards the realization of the goal of "driverless". For this "in-process" technology, it is necessary to establish a perfect connection and feedback mechanism between the system and the driver. To achieve this, visual (interface display), kinetic (environment awareness) and audio (voice alerts) strategies can be used to ensure that driving information is accurately and efficiently communicated to the driver, who in turn can better collaborate with the automated driving system to ensure the safety of each drive.
人机共驾的概念意味着目前自动驾驶仍然是一个“过程中”的技术。在自动驾驶场景中，驾驶员与车辆对道路的掌控占比相较过去有了显著的提升，朝着实现“无人驾驶”的目标迈出了重要一步。而针对这种“过程中”的技术，就需要在系统与驾驶员之间建立起完善的连接与反馈机制。为实现这一目标，可以运用视觉（界面显示）、动效（环境感知）和音效（语音提醒）等策略，确保驾驶信息能够准确、高效地传递给驾驶员，而驾驶员也可以更好地与自动驾驶系统协作，共同确保每次驾驶的安全。
Exploring the Development and Evolution of Autonomous Driving Technology: Shared Pilot
探索自动驾驶技术的发展与演进：人机共驾
Mar 26 · 2024
Steve Jobs often referred to the 'crossroads of technology and humanity' in past speeches as the key to innovation and product design. In the field of smart cars, this concept is particularly important. Technology represents the development of autonomous driving technology, while humanity represents a new user experience, both of which complement each other to build an innovative landscape that can disrupt the automotive industry.
乔布斯在过去演讲中经常提到「科技与人文的十字路口」，认为这是创新和产品设计的关键所在。在智能汽车领域，这一理念显得尤为重要。科技代表着自动驾驶技术的发展，而人文则代表了全新的用户体验，两者相辅相成，共同构建出了可以颠覆汽车行业的创新景象。
Smart endpoint systems essentially act as an extension of an individual's capabilities. For example, smartwatches provide blood oxygen and heart rate monitoring, headphones provide noise cancellation and a theater-quality sound experience, and the Apple Vision Pro creates an entirely new endpoint experience. In the automotive sector, the traditional function of transportation is evolving into a complex intelligent endpoint system. Within this system, autonomous driving technology is particularly prominent, and represents a major extension of personal capabilities.
智能终端系统在本质上扮演了对个人能力延伸的角色。举例来说，智能手表具备了血氧和心率监测功能，耳机能够实现降噪并提供影院级的音效体验，而 Apple Vision Pro 更是开创了一个全新的终端体验。在汽车领域，传统的运输功能逐渐演变为一个复杂的智能终端系统。在这个系统中，自动驾驶技术尤为显著，它也是对个人能力的重大延伸。
The development of autonomous driving technology has always been centered on the driver, and the fundamental goal remains driving safety. Although the current technology can already realize autonomous driving, the driver is still a crucial role. In the event of an error in judgment, complex road conditions, and poor environment, the driver needs to intervene in a timely manner to ensure driving safety. At the same time, the automatic driving system will also continue to monitor and assist the driver's driving. Therefore, it can be said that the current stage of automatic driving technology is still in an era of 'human-machine co-driving'.
自动驾驶技术的发展始终以驾驶员为核心，其根本目标仍然是行车安全。尽管目前的技术已经可以实现车辆的自主行驶，但驾驶员仍然是一个至关重要的角色。在自动驾驶出现判断失误、面对复杂路况以及恶劣环境等情况时，驾驶员需要及时介入以确保行车安全。同时，自动驾驶系统也会持续监测和辅助驾驶员的行驶。因此，可以说当前阶段的自动驾驶技术，仍于在一个「人机共驾」的时代。
In the context of human-machine co-driving, vehicles and drivers coexist on the road and collaborate with each other in order to cope with the current road task, make judgments about it and make decisions. However, due to changes in road conditions, weather conditions, time of day, and location, the driving load fluctuates and the role attributes of the driver and vehicle change accordingly. In low load scenarios, the driver has fewer tasks to decide, and the system should help the driver to cope with the occurrence of unexpected scenarios. As the driving load increases, the driver needs to deal with more decision-making tasks in high load scenarios, and the system should help the driver to reduce the number of decision-making tasks.
在人机共驾的背景下，车辆与驾驶员共存于道路上，相互协作以应对当前路况任务，对其做出判断并进行决策。然而，由于道路条件、天气状况、时间和位置等因素的变化，驾驶负荷会随之浮动，驾驶员与车辆的角色属性也会相应变化。在低负荷场景下，驾驶员所需要决策的任务较少，此时系统应帮助驾驶员来应对突发场景的发生。而随着驾驶负荷的提升，在高负荷场景下，驾驶员需要处理较多的决策任务，此时系统应帮助驾驶员减少需要决策的任务数量。
The concept of human-machine co-driving implies that autonomous driving is still an "in-process" technology. In the automatic driving scenario, the proportion of the driver and the vehicle in control of the road has been significantly improved compared to the past, and an important step has been taken towards the realization of the goal of "driverless". For this "in-process" technology, it is necessary to establish a perfect connection and feedback mechanism between the system and the driver. To achieve this, visual (interface display), kinetic (environment awareness) and audio (voice alerts) strategies can be used to ensure that driving information is accurately and efficiently communicated to the driver, who in turn can better collaborate with the automated driving system to ensure the safety of each drive.
人机共驾的概念意味着目前自动驾驶仍然是一个“过程中”的技术。在自动驾驶场景中，驾驶员与车辆对道路的掌控占比相较过去有了显著的提升，朝着实现“无人驾驶”的目标迈出了重要一步。而针对这种“过程中”的技术，就需要在系统与驾驶员之间建立起完善的连接与反馈机制。为实现这一目标，可以运用视觉（界面显示）、动效（环境感知）和音效（语音提醒）等策略，确保驾驶信息能够准确、高效地传递给驾驶员，而驾驶员也可以更好地与自动驾驶系统协作，共同确保每次驾驶的安全。
Exploring the Development and Evolution of Autonomous Driving Technology: Shared Pilot
探索自动驾驶技术的发展与演进：人机共驾
Mar 26 · 2024
乔布斯在过去演讲中经常提到「科技与人文的十字路口」，认为这是创新和产品设计的关键所在。在智能汽车领域，这一理念显得尤为重要。科技代表着自动驾驶技术的发展，而人文则代表了全新的用户体验，两者相辅相成，共同构建出了可以颠覆汽车行业的创新景象。
智能终端系统在本质上扮演了对个人能力延伸的角色。举例来说，智能手表具备了血氧和心率监测功能，耳机能够实现降噪并提供影院级的音效体验，而 Apple Vision Pro 更是开创了一个全新的终端体验。在汽车领域，传统的运输功能逐渐演变为一个复杂的智能终端系统。在这个系统中，自动驾驶技术尤为显著，它也是对个人能力的重大延伸。
自动驾驶技术的发展始终以驾驶员为核心，其根本目标仍然是行车安全。尽管目前的技术已经可以实现车辆的自主行驶，但驾驶员仍然是一个至关重要的角色。在自动驾驶出现判断失误、面对复杂路况以及恶劣环境等情况时，驾驶员需要及时介入以确保行车安全。同时，自动驾驶系统也会持续监测和辅助驾驶员的行驶。因此，可以说当前阶段的自动驾驶技术，仍于在一个「人机共驾」的时代。
在人机共驾的背景下，车辆与驾驶员共存于道路上，相互协作以应对当前路况任务，对其做出判断并进行决策。然而，由于道路条件、天气状况、时间和位置等因素的变化，驾驶负荷会随之浮动，驾驶员与车辆的角色属性也会相应变化。在低负荷场景下，驾驶员所需要决策的任务较少，此时系统应帮助驾驶员来应对突发场景的发生。而随着驾驶负荷的提升，在高负荷场景下，驾驶员需要处理较多的决策任务，此时系统应帮助驾驶员减少需要决策的任务数量。