Autonomy and Responsibility in Hybrid Systems

Author(s):  
Wulf Loh ◽  
Janina Loh

In this chapter, we give a brief overview of the traditional notion of responsibility and introduce a concept of distributed responsibility within a responsibility network of engineers, driver, and autonomous driving system. In order to evaluate this concept, we explore the notion of man–machine hybrid systems with regard to self-driving cars and conclude that the unit comprising the car and the operator/driver consists of such a hybrid system that can assume a shared responsibility different from the responsibility of other actors in the responsibility network. Discussing certain moral dilemma situations that are structured much like trolley cases, we deduce that as long as there is something like a driver in autonomous cars as part of the hybrid system, she will have to bear the responsibility for making the morally relevant decisions that are not covered by traffic rules.

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3145 ◽  
Author(s):  
Kichun Jo ◽  
Chansoo Kim ◽  
Myoungho Sunwoo

High Definition (HD) maps are becoming key elements of the autonomous driving because they can provide information about the surrounding environment of the autonomous car without being affected by the real-time perception limit. To provide the most recent environmental information to the autonomous driving system, the HD map must maintain up-to-date data by updating changes in the real world. This paper presents a simultaneous localization and map change update (SLAMCU) algorithm to detect and update the HD map changes. A Dempster–Shafer evidence theory is applied to infer the HD map changes based on the evaluation of the HD map feature existence. A Rao–Blackwellized particle filter (RBPF) approach is used to concurrently estimate the vehicle position and update the new map state. The detected and updated map changes by the SLAMCU are reported to the HD map database in order to reflect the changes to the HD map and share the changing information with the other autonomous cars. The SLAMCU was evaluated through experiments using the HD map of traffic signs in the real traffic conditions.


2021 ◽  
Vol 6 (4) ◽  
pp. 7301-7308
Author(s):  
Tianze Wu ◽  
Baofu Wu ◽  
Sa Wang ◽  
Liangkai Liu ◽  
Shaoshan Liu ◽  
...  

2015 ◽  
Vol 16 (4) ◽  
pp. 1999-2013 ◽  
Author(s):  
Inwook Shim ◽  
Jongwon Choi ◽  
Seunghak Shin ◽  
Tae-Hyun Oh ◽  
Unghui Lee ◽  
...  

2021 ◽  
Author(s):  
Jingqin Zhang ◽  
Jun Hou ◽  
Jinwen Hu ◽  
Chunhui Zhao ◽  
Zhao Xu ◽  
...  

2021 ◽  
Author(s):  
Kazunari Takasaki ◽  
Kota Hisafuru ◽  
Ryotaro Negishi ◽  
Kazuki Yamashita ◽  
Keisuke Fukada ◽  
...  

2021 ◽  
Author(s):  
Emanuele Ferrandino ◽  
Antonino Capillo ◽  
Enrico De Santis ◽  
Fabio Mascioli ◽  
Antonello Rizzi

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