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Predicting Driver Attention in Critical Situations

Predicting Driver Attention in Critical Situations

17 November 2017
Ye Xia
Danqing Zhang
Jinkyu Kim
K. Nakayama
K. Zipser
D. Whitney
ArXivPDFHTML

Papers citing "Predicting Driver Attention in Critical Situations"

50 / 53 papers shown
Title
AEGIS: Human Attention-based Explainable Guidance for Intelligent Vehicle Systems
AEGIS: Human Attention-based Explainable Guidance for Intelligent Vehicle Systems
Zhuoli Zhuang
Cheng-You Lu
Yu-Cheng Chang
Yu-Kai Wang
T. Do
Chin-Teng Lin
33
0
0
08 Apr 2025
Salient Object Detection in Traffic Scene through the TSOD10K Dataset
Salient Object Detection in Traffic Scene through the TSOD10K Dataset
Yu Qiu
Yuhang Sun
Jie Mei
Lin Xiao
Jing Xu
44
0
0
21 Mar 2025
SalM$^{2}$: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention
SalM2^{2}2: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention
Chunyu Zhao
Wentao Mu
Xian Zhou
Wenbo Liu
Fei Yan
T. Deng
Mamba
45
1
0
22 Feb 2025
Towards Robust Unsupervised Attention Prediction in Autonomous Driving
Towards Robust Unsupervised Attention Prediction in Autonomous Driving
Mengshi Qi
Xiaoyang Bi
Pengfei Zhu
Huadong Ma
55
0
0
25 Jan 2025
Modeling Drivers' Risk Perception via Attention to Improve Driving
  Assistance
Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance
Abhijat Biswas
John Gideon
Kimimasa Tamura
Guy Rosman
34
0
0
07 Sep 2024
AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention
  Prediction
AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention Prediction
Dongyang Xu
Qingfan Wang
Ji Ma
Xiangyun Zeng
Lei Chen
30
0
0
24 Jul 2024
Comparing Optical Flow and Deep Learning to Enable Computationally
  Efficient Traffic Event Detection with Space-Filling Curves
Comparing Optical Flow and Deep Learning to Enable Computationally Efficient Traffic Event Detection with Space-Filling Curves
Tayssir Bouraffa
Elias Kjellberg Carlson
Erik Wessman
Ali Nouri
Pierre Lamart
Christian Berger
26
0
0
15 Jul 2024
Beyond Average: Individualized Visual Scanpath Prediction
Beyond Average: Individualized Visual Scanpath Prediction
Xianyu Chen
Ming Jiang
Qi Zhao
29
5
0
18 Apr 2024
SCOUT+: Towards Practical Task-Driven Drivers' Gaze Prediction
SCOUT+: Towards Practical Task-Driven Drivers' Gaze Prediction
Iuliia Kotseruba
John K. Tsotsos
33
1
0
12 Apr 2024
Data Limitations for Modeling Top-Down Effects on Drivers' Attention
Data Limitations for Modeling Top-Down Effects on Drivers' Attention
Iuliia Kotseruba
John K. Tsotsos
29
1
0
12 Apr 2024
Incorporating Explanations into Human-Machine Interfaces for Trust and
  Situation Awareness in Autonomous Vehicles
Incorporating Explanations into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
24
4
0
10 Apr 2024
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on
  Intention
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention
Suleyman Ozdel
Yao Rong
Mert Albaba
Yen-Ling Kuo
Xi Wang
40
4
0
10 Apr 2024
SalFoM: Dynamic Saliency Prediction with Video Foundation Models
SalFoM: Dynamic Saliency Prediction with Video Foundation Models
Morteza Moradi
Mohammad Moradi
Francesco Rundo
C. Spampinato
Ali Borji
S. Palazzo
42
1
0
03 Apr 2024
M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for
  Autonomous Driving
M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving
Dongyang Xu
Haokun Li
Qingfan Wang
Ziying Song
Lei Chen
Hanming Deng
40
7
0
19 Mar 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
69
6
0
18 Mar 2024
Trends, Applications, and Challenges in Human Attention Modelling
Trends, Applications, and Challenges in Human Attention Modelling
Giuseppe Cartella
Marcella Cornia
Vittorio Cuculo
Alessandro D’Amelio
Dario Zanca
Giuseppe Boccignone
Rita Cucchiara
40
6
0
28 Feb 2024
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic
  Review
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review
Anton Kuznietsov
Balint Gyevnar
Cheng Wang
Steven Peters
Stefano V. Albrecht
XAI
28
26
0
08 Feb 2024
Object Importance Estimation using Counterfactual Reasoning for
  Intelligent Driving
Object Importance Estimation using Counterfactual Reasoning for Intelligent Driving
Pranay Gupta
Abhijat Biswas
H. Admoni
David Held
37
2
0
05 Dec 2023
RiskBench: A Scenario-based Benchmark for Risk Identification
RiskBench: A Scenario-based Benchmark for Risk Identification
Chi-Hsi Kung
Chieh-Chi Yang
Pang-Yuan Pao
Shu-Wei Lu
Pin-Lun Chen
Hsin-Cheng Lu
Yi-Ting Chen
39
5
0
04 Dec 2023
DRUformer: Enhancing the driving scene Important object detection with
  driving relationship self-understanding
DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding
Yingjie Niu
Ming Ding
Keisuke Fujii
Kento Ohtani
Alexander Carballo
K. Takeda
ViT
38
0
0
11 Nov 2023
Understanding and Modeling the Effects of Task and Context on Drivers'
  Gaze Allocation
Understanding and Modeling the Effects of Task and Context on Drivers' Gaze Allocation
Iuliia Kotseruba
John K. Tsotsos
19
3
0
13 Oct 2023
Gated Driver Attention Predictor
Gated Driver Attention Predictor
Tianci Zhao
Xue Bai
Jianwu Fang
Jianru Xue
37
2
0
01 Aug 2023
CUEING: a lightweight model to Capture hUman attEntion In driviNG
CUEING: a lightweight model to Capture hUman attEntion In driviNG
Linfeng Liang
Yao Deng
Yang Zhang
Jianchao Lu
Chen Wang
Quan Z. Sheng
Xi Zheng
26
2
0
25 May 2023
Unsupervised Self-Driving Attention Prediction via Uncertainty Mining
  and Knowledge Embedding
Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding
Pengfei Zhu
Mengshi Qi
Xia Li
Weijian Li
Huadong Ma
23
6
0
17 Mar 2023
Cognitive Accident Prediction in Driving Scenes: A Multimodality
  Benchmark
Cognitive Accident Prediction in Driving Scenes: A Multimodality Benchmark
Jianwu Fang
Lei-lei Li
Kuan Yang
Zhedong Zheng
Jianru Xue
Tat-Seng Chua
30
13
0
19 Dec 2022
FBLNet: FeedBack Loop Network for Driver Attention Prediction
FBLNet: FeedBack Loop Network for Driver Attention Prediction
Yilong Chen
Zhixiong Nan
Tao Xiang
30
5
0
05 Dec 2022
DRAMA: Joint Risk Localization and Captioning in Driving
DRAMA: Joint Risk Localization and Captioning in Driving
Srikanth Malla
Chiho Choi
Isht Dwivedi
Joonhyang Choi
Jiachen Li
107
87
0
22 Sep 2022
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep
  Object Detectors
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors
Avishag Shapira
Alon Zolfi
Luca Demetrio
Battista Biggio
A. Shabtai
AAML
29
30
0
26 May 2022
Where and What: Driver Attention-based Object Detection
Where and What: Driver Attention-based Object Detection
Yao Rong
Naemi-Rebecca Kassautzki
Wolfgang Fuhl
Enkelejda Kasneci
40
5
0
26 Apr 2022
Challenges and Opportunities for Machine Learning Classification of
  Behavior and Mental State from Images
Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images
Peter Washington
O. Mutlu
A. Kline
K. Paskov
N. Stockham
B. Chrisman
Nick Deveaux
Mourya Surhabi
Nick Haber
Dennis Paul Wall
13
11
0
26 Jan 2022
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset
Yuan Shen
Niviru Wijayaratne
Pranav Sriram
Aamir Hasan
Peter Du
Katherine Driggs-Campbell
19
11
0
19 Nov 2021
MAAD: A Model and Dataset for "Attended Awareness" in Driving
MAAD: A Model and Dataset for "Attended Awareness" in Driving
Deepak Gopinath
Guy Rosman
Simon Stent
K. Terahata
L. Fletcher
B. Argall
John J. Leonard
26
10
0
16 Oct 2021
Reason induced visual attention for explainable autonomous driving
Reason induced visual attention for explainable autonomous driving
Sikai Chen
Jiqian Dong
Runjia Du
Yujie Li
S. Labi
34
1
0
11 Oct 2021
A Gaze Data-based Comparative Study to Build a Trustworthy Human-AI
  Collaboration in Crash Anticipation
A Gaze Data-based Comparative Study to Build a Trustworthy Human-AI Collaboration in Crash Anticipation
Yu Li
Muhammad Monjurul Karim
Ruwen Qin
16
0
0
03 Aug 2021
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation
Wentao Bao
Qi Yu
Yu Kong
FAtt
27
39
0
21 Jul 2021
Recent Advances in Leveraging Human Guidance for Sequential
  Decision-Making Tasks
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks
Ruohan Zhang
F. Torabi
Garrett A. Warnell
Peter Stone
73
28
0
13 Jul 2021
DROID: Driver-centric Risk Object Identification
DROID: Driver-centric Risk Object Identification
Chengxi Li
Stanley H. Chan
Yi-Ting Chen
42
6
0
24 Jun 2021
Matching Representations of Explainable Artificial Intelligence and Eye
  Gaze for Human-Machine Interaction
Matching Representations of Explainable Artificial Intelligence and Eye Gaze for Human-Machine Interaction
Tiffany Hwu
Mia Levy
Steven Skorheim
David J. Huber
20
6
0
30 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review
  and challenges
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
39
169
0
13 Jan 2021
The Multimodal Driver Monitoring Database: A Naturalistic Corpus to
  Study Driver Attention
The Multimodal Driver Monitoring Database: A Naturalistic Corpus to Study Driver Attention
Sumit Kumar Jha
Mohamed F. Marzban
Tiancheng Hu
Mohamed Mahmoud
Naofal Al-Dhahir
Naofal Al-Dhahir Carlos Busso
20
24
0
23 Dec 2020
RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal
  Graph Convolutional Networks
RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional Networks
Videsh Suman
Phu-Cuong Pham
Aniket Bera
GNN
11
4
0
17 Nov 2020
To Explain or Not to Explain: A Study on the Necessity of Explanations
  for Autonomous Vehicles
To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles
Yuan-Chung Shen
Shanduojiao Jiang
Yanlin Chen
Katie Driggs Campbell
37
41
0
21 Jun 2020
Explainable Object-induced Action Decision for Autonomous Vehicles
Explainable Object-induced Action Decision for Autonomous Vehicles
Yiran Xu
Xiaoyin Yang
Lihang Gong
Hsuan-Chu Lin
Tz-Ying Wu
Yunsheng Li
Nuno Vasconcelos
30
104
0
20 Mar 2020
Interaction Graphs for Object Importance Estimation in On-road Driving
  Videos
Interaction Graphs for Object Importance Estimation in On-road Driving Videos
Zehua Zhang
Ashish Tawari
Sujitha Martin
David J. Crandall
GNN
FAtt
9
23
0
12 Mar 2020
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk
  Object Identification via Causal Inference
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference
Chengxi Li
Stanley H. Chan
Yi-Ting Chen
CML
76
51
0
05 Mar 2020
See, Attend and Brake: An Attention-based Saliency Map Prediction Model
  for End-to-End Driving
See, Attend and Brake: An Attention-based Saliency Map Prediction Model for End-to-End Driving
Ekrem Aksoy
A. Yazıcı
Mahmut Kasap
14
13
0
24 Feb 2020
DADA: Driver Attention Prediction in Driving Accident Scenarios
DADA: Driver Attention Prediction in Driving Accident Scenarios
Jianwu Fang
Dingxin Yan
Jiahuan Qiao
Jianru Xue
Hongkai Yu
29
107
0
18 Dec 2019
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy
  Deep Inverse Reinforcement Learning
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning
Sonia Baee
Erfan Pakdamanian
Inki Kim
Lu Feng
Vicente Ordonez
Laura E. Barnes
16
47
0
17 Dec 2019
Looking at the right stuff: Guided semantic-gaze for autonomous driving
Looking at the right stuff: Guided semantic-gaze for autonomous driving
Anwesan Pal
S. Mondal
H. Christensen
21
51
0
24 Nov 2019
Risk-Aware Reasoning for Autonomous Vehicles
Risk-Aware Reasoning for Autonomous Vehicles
Majid Khonji
Jorge Dias
Lakmal Seneviratne
19
0
0
06 Oct 2019
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