Scipediacontent: Scipediacontent moved page Draft Content 995337930 to Tawari et al 2019a

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Scipediacontent moved page Draft Content 995337930 to Tawari et al 2019a

Scipediacontent: Created page with " == Abstract == Road-users are a critical part of decision-making for both self-driving cars and driver assistance systems. Some road-users, however, are more important for d..."

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Created page with " == Abstract == Road-users are a critical part of decision-making for both self-driving cars and driver assistance systems. Some road-users, however, are more important for d..."

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== Abstract ==

Road-users are a critical part of decision-making for both self-driving cars and driver assistance systems. Some road-users, however, are more important for decision-making than others because of their respective intentions, ego vehicle's intention and their effects on each other. In this paper, we propose a novel architecture for road-user importance estimation which takes advantage of the local and global context of the scene. For local context, the model exploits the appearance of the road users (which captures orientation, intention, etc.) and their location relative to ego-vehicle. The global context in our model is defined based on the feature map of the convolutional layer of the module which predicts the future path of the ego-vehicle and contains rich global information of the scene (e.g., infrastructure, road lanes, etc.), as well as the ego vehicle's intention information. Moreover, this paper introduces a new data set of real-world driving, concentrated around inter-sections and includes annotations of important road users. Systematic evaluations of our proposed method against several baselines show promising results.

Comment: Published in: IEEE Intelligent Vehicles (IV), 2019

== Original document ==

The different versions of the original document can be found in:

* [http://arxiv.org/abs/1909.05152 http://arxiv.org/abs/1909.05152]

* [http://arxiv.org/pdf/1909.05152 http://arxiv.org/pdf/1909.05152]

* [http://xplorestaging.ieee.org/ielx7/8792328/8813768/08814210.pdf?arnumber=8814210 http://xplorestaging.ieee.org/ielx7/8792328/8813768/08814210.pdf?arnumber=8814210],
: [http://dx.doi.org/10.1109/ivs.2019.8814210 http://dx.doi.org/10.1109/ivs.2019.8814210]

* [https://dblp.uni-trier.de/db/journals/corr/corr1909.html#abs-1909-05152 https://dblp.uni-trier.de/db/journals/corr/corr1909.html#abs-1909-05152],
: [https://arxiv.org/abs/1909.05152 https://arxiv.org/abs/1909.05152],
: [https://arxiv.org/pdf/1909.05152.pdf https://arxiv.org/pdf/1909.05152.pdf],
: [https://ui.adsabs.harvard.edu/abs/2019arXiv190905152R/abstract https://ui.adsabs.harvard.edu/abs/2019arXiv190905152R/abstract],
: [https://ieeexplore.ieee.org/document/8814210 https://ieeexplore.ieee.org/document/8814210],
: [https://academic.microsoft.com/#/detail/2971177289 https://academic.microsoft.com/#/detail/2971177289]

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Scipediacontent: Scipediacontent moved page Draft Content 995337930 to Tawari et al 2019a

Scipediacontent: Created page with " == Abstract == Road-users are a critical part of decision-making for both self-driving cars and driver assistance systems. Some road-users, however, are more important for d..."