A review of vision-based traffic semantic understanding in ITSs
J Chen, Q Wang, HH Cheng, W Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …
situations and emergencies more accurately and provide a more accurate basis for anomaly …
A survey on long-tailed visual recognition
L Yang, H Jiang, Q Song, J Guo - International Journal of Computer Vision, 2022 - Springer
The heavy reliance on data is one of the major reasons that currently limit the development
of deep learning. Data quality directly dominates the effect of deep learning models, and the …
of deep learning. Data quality directly dominates the effect of deep learning models, and the …
Learning 3d-aware egocentric spatial-temporal interaction via graph convolutional networks
To enable intelligent automated driving systems, a promising strategy is to understand how
human drives and interacts with road users in complicated driving situations. In this paper …
human drives and interacts with road users in complicated driving situations. In this paper …
Ego-vehicle action recognition based on semi-supervised contrastive learning
C Noguchi, T Tanizawa - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
In recent years, many automobiles have been equipped with cameras, which have
accumulated an enormous amount of video footage of driving scenes. Autonomous driving …
accumulated an enormous amount of video footage of driving scenes. Autonomous driving …
System for risk object identification via causal inference and method thereof
YT Chen, LI Chengxi - US Patent 11,544,935, 2023 - Google Patents
(57) ABSTRACT A system and method for risk object identification via causal inference that
includes receiving at least one image of a driving scene of an ego vehicle and analyzing the …
includes receiving at least one image of a driving scene of an ego vehicle and analyzing the …
Driver-centric risk assessment: risk object identification via causal inference with intent-aware driving models
LI Chengxi, YT Chen - US Patent 11,458,987, 2022 - Google Patents
A system and method for predicting driving actions based on intent-aware driving models
that include receiving at least one image of a driving scene of an ego vehicle. The system …
that include receiving at least one image of a driving scene of an ego vehicle. The system …
System and method for tactical behavior recognition
YT Chen, LI Chengxi, Y Meng - US Patent 11,460,856, 2022 - Google Patents
Abstract Systems and methods for driver behavior recognition is provided. In one
embodiment a computer implemented method includes receiving image data associated …
embodiment a computer implemented method includes receiving image data associated …