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- W4281778420 abstract "A promising approach to further increase the safety of Vulnerable Road Users (VRUs) are cooperative collision avoidance systems. Cooperative collision avoidance systems actively integrate the VRUs in collision detection by using movement data from a VRU’s mobile device. While in recent years great attention was payed to solve technical challenges, e.g., regarding communication and sensor accuracy, little attention was payed to threats of privacy. However, the use and collection of such data poses certain privacy risks to the VRU. These privacy risks cannot be addressed by encryption alone. While some pseudonymisation approaches are used to protect the identity and location of VRUs, in this paper, we analyse to which extent the perturbation of movement data, specifically the speed data, can prevent the linkage of this data to a particular VRU, thus reducing the probability that this specific VRU can be identified. At the same time, we evaluate the trade-off between the probability of User Identification and the probability of collision detection. The evaluation is based on a standardised urban collision scenario between pedestrians and vehicles from the European New Car Assessment Programme. Our results show that privacy and survival are not mutually exclusive." @default.
- W4281778420 created "2022-06-13" @default.
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- W4281778420 date "2022-04-25" @default.
- W4281778420 modified "2023-10-15" @default.
- W4281778420 title "Collision Avoidance for Vulnerable Road Users: Privacy versus Survival?" @default.
- W4281778420 doi "https://doi.org/10.1109/noms54207.2022.9789710" @default.
- W4281778420 hasPublicationYear "2022" @default.
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