Towards a Complete Safety Framework for Longitudinal Driving
(2024) 35th IEEE Intelligent Vehicles Symposium, IV 2024 p.3159-3159- Abstract
Formal models for the safety validation of autonomous vehicles have become increasingly important. To this end, we present a safety framework for longitudinal automated driving. This framework enables the calculation of minimum safe inter-vehicular distances for arbitrary ego vehicle control policies in a computationally efficient manner. We use this framework to enhance and generalize the Responsibility-Sensitive Safety (RSS) [1] model and models based on it, which fail to cover situations where the ego vehicle has a higher decelerating capacity than its preceding vehicle.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/db7642ad-86f7-4ec8-95b9-eeba37f8f6c1
- author
- Sidorenko, Galina
LU
; Fedorov, Aleksei LU ; Thunberg, Johan LU and Vinel, Alexey
- organization
- publishing date
- 2024
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- IEEE Intelligent Vehicles Symposium, Proceedings
- pages
- 1 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 35th IEEE Intelligent Vehicles Symposium, IV 2024
- conference location
- Jeju Island, Korea, Republic of
- conference dates
- 2024-06-02 - 2024-06-05
- external identifiers
-
- scopus:85199805522
- ISBN
- 9798350348811
- DOI
- 10.1109/IV55156.2024.10588489
- language
- English
- LU publication?
- yes
- id
- db7642ad-86f7-4ec8-95b9-eeba37f8f6c1
- date added to LUP
- 2024-11-12 09:12:43
- date last changed
- 2025-06-11 01:56:52
@inproceedings{db7642ad-86f7-4ec8-95b9-eeba37f8f6c1, abstract = {{<p>Formal models for the safety validation of autonomous vehicles have become increasingly important. To this end, we present a safety framework for longitudinal automated driving. This framework enables the calculation of minimum safe inter-vehicular distances for arbitrary ego vehicle control policies in a computationally efficient manner. We use this framework to enhance and generalize the Responsibility-Sensitive Safety (RSS) [1] model and models based on it, which fail to cover situations where the ego vehicle has a higher decelerating capacity than its preceding vehicle.</p>}}, author = {{Sidorenko, Galina and Fedorov, Aleksei and Thunberg, Johan and Vinel, Alexey}}, booktitle = {{IEEE Intelligent Vehicles Symposium, Proceedings}}, isbn = {{9798350348811}}, language = {{eng}}, pages = {{3159--3159}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Towards a Complete Safety Framework for Longitudinal Driving}}, url = {{http://dx.doi.org/10.1109/IV55156.2024.10588489}}, doi = {{10.1109/IV55156.2024.10588489}}, year = {{2024}}, }