Weakly Supervised Fixated Object Detection in Traffic Videos based on Driver's Selective Attention Mechanism
Y Shi, L Qin, S Zhao, K Yang, Y Cui… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Traffic scene perception has a significant impact on driving safety. Inexperienced or
distracted drivers usually do not allocate enough attention to the objects closely related to …
distracted drivers usually do not allocate enough attention to the objects closely related to …
TransConvNet: Perform perceptually relevant driver's visual attention predictions
C Xu, B Jiang, Y Su - Computers and Electrical Engineering, 2024 - Elsevier
Drivers adeptly allocate their attention to critical areas and targets in a dynamically evolving
driving environment, thereby ensuring the utmost safety. However, prevailing research …
driving environment, thereby ensuring the utmost safety. However, prevailing research …
M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving
End-to-end autonomous driving has witnessed remarkable progress. However, the
extensive deployment of autonomous vehicles has yet to be realized, primarily due to 1) …
extensive deployment of autonomous vehicles has yet to be realized, primarily due to 1) …
Comparative Study of Attention among Drivers with Varying Driving Experience
B Adhikari, Z Durić, D Wijesekera… - 2024 IEEE Intelligent …, 2024 - ieeexplore.ieee.org
Advancements in Intelligent Transportation Systems (ITS) enhance driver safety, comfort,
and traffic flow. However, because human drivers remain integral to operating human-driven …
and traffic flow. However, because human drivers remain integral to operating human-driven …
STDA: Spatio-Temporal Dual-Encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-Critical Scenarios
D Xu, Y Luo, T Lu, Q Wang, Q Zhou, B Nie - arXiv preprint arXiv …, 2024 - arxiv.org
Accurate behavior prediction for vehicles is essential but challenging for autonomous
driving. Most existing studies show satisfying performance under regular scenarios, but most …
driving. Most existing studies show satisfying performance under regular scenarios, but most …
AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention Prediction
Accurate driver attention prediction can serve as a critical reference for intelligent vehicles in
understanding traffic scenes and making informed driving decisions. Though existing …
understanding traffic scenes and making informed driving decisions. Though existing …
A New Pipeline with Ultimate Search Efficiency For Neural Architecture Search
X Qiao, C Zhao, T Deng, F Yan - papers.ssrn.com
We present a novel neural architecture search pipeline designed to enhance search
efficiency through optimized data and algorithms. Leveraging dataset distillation techniques …
efficiency through optimized data and algorithms. Leveraging dataset distillation techniques …