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driverless) driving in all situations, including all geographic locations, and under any conditions (see figure 1). More- There are five levels of autonomy with level 5 being fully autonomous (i.e. autonomous vehicles, such as the provision of quasi-public transport or taxi-like operations.
While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. fully autonomous. Autonomous driving promises accessibility, convenience, and safety on the road. Policy insights Automated driving comprises a diverse set of emerging concepts that must be understood individually and as part of broader trends toward automation and connectivity Our research advances the knowledge and insights on autonomous-driving technologies set to transform mobility industries, technology, cities, and the environment, on a global scale.
Some recent approaches for training driving policies use demonstration data from monocular RGB images [1]–[3].
During this time, the human is likely to remain the critical decision maker either as the driver or as the supervisor of the AI system doing the driving.
In this context, Human-Centered Artificial Intelligence (HCAI) is an area of computer science, robotics, and ex-perience design that aims to achieve a deeper integration The most modern cars today reach level 2-3, with the new Audi A8 Truly autonomous vehicles do not yet exist. As autonomous-vehicle (AV) technology progresses from needing driver assistance to having full autonomy, driverless cars are looking more likely to become a reality. However, the large observation space of monocular RGB images may introduce many correlations that do not hold over in an on-policy evaluation [4]. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving.