Investigating intervention road scenarios for teleoperation of autonomous vehicles

Investigating intervention road scenarios for teleoperation of autonomous vehicles

연구 분야: Artificial Intelligence

학회: Multimedia Tools and Applications

Autonomous vehicles (AVs) are quickly advancing and show promise to be a transformative mode of transportation. However, the prevailing consensus suggests that AVs will not be capable of addressing every traffic situation, necessitating remote human intervention in certain edge case scenarios. To facilitate the development of future teleoperation solutions, it is imperative to establish a clear and comprehensive set of intervention scenarios. To achieve this, we undertook a thorough investigation employing in-depth semi-structured interviews with 14 experts specializing in AV teleoperation. Employing thematic analysis to organize and classify the collected data, our study offers a comprehensive compilation of use cases that may require remote human assistance. By doing so, our findings provide a solid groundwork for the design and implementation of future teleoperation user interfaces. These interfaces may play a crucial role in enabling effective and efficient collaboration between humans and AVs in situations where remote intervention becomes necessary. Ultimately, our research contributes to the advancement of AV technology by identifying critical areas where human involvement can augment the capabilities of autonomous systems, thereby ensuring safer and more reliable transportation solutions.