Abstract
dvanced Driver Assistance Systems (ADAS) have made driving safer over the last decade. They prepare vehicles for unsafe road conditions and alert drivers if they perform a dangerous maneuver. However, many accidents are unavoidable because by the time drivers are alerted, it is already too late. Anticipating maneuvers beforehand can alert drivers before they perform the maneuver and also give ADAS more time to avoid or prepare for the danger. In this work we anticipate driving maneuvers a few seconds before they occur. For this purpose we equip a car with cameras and a computing device to capture the driving context from both inside and outside of the car. We propose an Autoregressive Input-Output HMM to model the contextual information alongwith the maneuvers. We evaluate our approach on a diverse data set with 1180 miles of natural freeway and city driving and show that we can anticipate maneuvers 3.5 seconds before they occur with over 80\% F1-score in real-time.
Comment: ICCV 2015, http://brain4cars.com
Original document
The different versions of the original document can be found in:
- http://brain4cars.com/pdfs/iccv2015.pdf,
- https://cs.stanford.edu/people/asaxena/papers/brain4cars-iccv2015.pdf,
- http://www.cs.cornell.edu/~hema/papers/iccv2015.pdf,
- https://asheshjain.org/pdfs/iccv2015.pdf,
- https://www.arxiv-vanity.com/papers/1504.02789,
- http://openaccess.thecvf.com/content_iccv_2015/html/Jain_Car_That_Knows_ICCV_2015_paper.html,
- https://arxiv.org/pdf/1504.02789,
- http://pr.cs.cornell.edu/papers/jain_iccv2015.pdf,
- https://ui.adsabs.harvard.edu/abs/2015arXiv150402789J/abstract,
- https://ieeexplore.ieee.org/document/7410721,
- https://www.cv-foundation.org/openaccess/content_iccv_2015/html/Jain_Car_That_Knows_ICCV_2015_paper.html,
- https://academic.microsoft.com/#/detail/1789187189
Document information
Published on 01/01/2015
Volume 2015, 2015
DOI: 10.1109/iccv.2015.364
Licence: CC BY-NC-SA license
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