The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A survey on motion prediction and risk assessment for intelligent vehicles
Open accessAbstract
With the objective to improve road safety, the automotive industry is moving toward more “intelligent” vehicles. One of the major challenges is to detect dangerous situations and react accordingly in order to avoid or mitigate accidents. This requires predicting the likely evolution of the current traffic situation, and assessing how dangerous that future situation might be. This paper is a survey of existing methods for motion prediction and risk assessment for intelligent vehicles. The proposed classification is based on the semantics used to define motion and risk. We point out the tradeoff between model completeness and real-time constraints, and the fact that the choice of a risk assessment method is influenced by the selected motion model.
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(2006) · Mechanical Engineering Series · doi:10.1007/0-387-28823-6 · Cited by 1,129
Learning-based approach for online lane change intention prediction
Kumar, P., Perrollaz, M., Lefevre, S., & Laugier, C. (2013) · 2013 IEEE Intelligent Vehicles Symposium (IV) · doi:10.1109/ivs.2013.6629564 · Cited by 410
Self-citationLane change intent prediction for driver assistance: On-road design and evaluation
Morris, B., Doshi, A., & Trivedi, M. (2011) · 2011 IEEE Intelligent Vehicles Symposium (IV) · doi:10.1109/ivs.2011.5940538 · Cited by 228
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Yurtsever, E., Lambert, J., Carballo, A., & Takeda, K. (2020) · IEEE Access · doi:10.1109/access.2020.2983149 · Cited by 1,889
“[17] - - X - - - - - - - [18] - - - - - X X - - - [19] - - - - - X - - - - [20] X X X X - - - - - - [21] X - X - - - - - X - [22] X - - - - - - - - - [23] - - X X - X X - - X [24] - X - - X X X - - - [25] - - - - X X - - - - Ours X X X X X X - X X X complete the challenge attracted significant attention. After DARPA Ur…”
Convolutional Social Pooling for Vehicle Trajectory Prediction
Deo, N., & Trivedi, M. M. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2018.00196 · Cited by 1,050
Lane Change Maneuvers for Automated Vehicles
Nilsson, J., Brannstrom, M., Coelingh, E., & Fredriksson, J. (2017) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2016.2597966 · Cited by 227
A Combined Model- and Learning-Based Framework for Interaction-Aware Maneuver Prediction
Bahram, M., Hubmann, C., Lawitzky, A., Aeberhard, M., & Wollherr, D. (2016) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2015.2506642 · Cited by 175
Fu, Y., Li, C., Yu, F. R., Luan, T. H., & Zhang, Y. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3083927 · Cited by 169
Metadata
- Authors
- Lefèvre, S., Vasquez, D., & Laugier, C.
- Venue
- ROBOMECH Journal
- Published
- 2014-07-23
- Volume
- 1
- Issue
- 1
- ISSN
- 2197-4225 (ISSN-L)
- OpenAlex
- W2097545165
- Cited by
- 1,112
- References
- 3
- FWCI
- 41.26
- Type
- journal article
- Language
- en
- Open access
- gold
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