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Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk
  Object Identification via Causal Inference
v1v2 (latest)

Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
5 March 2020
Chengxi Li
Stanley H. Chan
Yi-Ting Chen
    CML
ArXiv (abs)PDFHTML

Papers citing "Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference"

30 / 30 papers shown
DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy
DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy
Weitao Zhou
Bo Zhang
Zhong Cao
X. Li
Qian Cheng
Chunyang Liu
Y. Zhang
Diange Yang
215
3
0
20 Jun 2025
ATARS: An Aerial Traffic Atomic Activity Recognition and Temporal Segmentation Dataset
ATARS: An Aerial Traffic Atomic Activity Recognition and Temporal Segmentation Dataset
Zihao Chen
Hsuanyu Wu
Chi-Hsi Kung
Yi-Ting Chen
Yan-Tsung Peng
282
1
0
24 Mar 2025
Exploring the Causality of End-to-End Autonomous Driving
Exploring the Causality of End-to-End Autonomous Driving
Jiankun Li
Hao Li
Jiangjiang Liu
Zhikang Zou
Xiaoqing Ye
F. Wang
Jizhou Huang
Hua Wu
Haifeng Wang
LRM
406
15
0
09 Jul 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
722
15
0
18 Mar 2024
Context-Aware Quantitative Risk Assessment Machine Learning Model for
  Drivers Distraction
Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction
Adebamigbe Fasanmade
A. Al-Bayatti
J. Morden
Fabio Caraffini
142
2
0
20 Feb 2024
Object Importance Estimation using Counterfactual Reasoning for
  Intelligent Driving
Object Importance Estimation using Counterfactual Reasoning for Intelligent DrivingIEEE Robotics and Automation Letters (RA-L), 2023
Pranay Gupta
Abhijat Biswas
H. Admoni
David Held
372
5
0
05 Dec 2023
RiskBench: A Scenario-based Benchmark for Risk Identification
RiskBench: A Scenario-based Benchmark for Risk IdentificationIEEE International Conference on Robotics and Automation (ICRA), 2023
Chi-Hsi Kung
Chieh-Chi Yang
Pang-Yuan Pao
Shu-Wei Lu
Pin-Lun Chen
Hsin-Cheng Lu
Yi-Ting Chen
487
13
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
248
0
0
11 Nov 2023
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and
  Reasoning
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and ReasoningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Enna Sachdeva
Nakul Agarwal
Suhas Chundi
Sean Roelofs
Jiachen Li
Mykel Kochenderfer
Chiho Choi
Behzad Dariush
306
85
0
12 Sep 2023
Gated Driver Attention Predictor
Gated Driver Attention Predictor
Tianci Zhao
Xue Bai
Jianwu Fang
Jianru Xue
260
6
0
01 Aug 2023
Explaining Autonomous Driving Actions with Visual Question Answering
Explaining Autonomous Driving Actions with Visual Question Answering
Shahin Atakishiyev
Mohammad Salameh
H. Babiker
Randy Goebel
265
26
0
19 Jul 2023
Recent Advancements in End-to-End Autonomous Driving using Deep
  Learning: A Survey
Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A SurveyIEEE Transactions on Intelligent Vehicles (TIV), 2023
Pranav Singh Chib
Pravendra Singh
444
268
0
10 Jul 2023
Simulation-Based Counterfactual Causal Discovery on Real World Driver
  Behaviour
Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour
Rhys Howard
Lars Kunze
CML
369
6
0
06 Jun 2023
Evaluating Temporal Observation-Based Causal Discovery Techniques
  Applied to Road Driver Behaviour
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver BehaviourCLEaR (CLEaR), 2023
Rhys Howard
Lars Kunze
CML
412
7
0
31 Jan 2023
Learning Road Scene-level Representations via Semantic Region Prediction
Learning Road Scene-level Representations via Semantic Region PredictionConference on Robot Learning (CoRL), 2023
Zihao Xiao
Alan Yuille
Yi-Ting Chen
382
3
0
02 Jan 2023
Behavioral Intention Prediction in Driving Scenes: A Survey
Behavioral Intention Prediction in Driving Scenes: A Survey
Jianwu Fang
Fan Wang
Jianru Xue
Tat-Seng Chua
535
89
0
01 Nov 2022
TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video
  Surveillance
TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video SurveillanceIEEE Access (IEEE Access), 2022
Yajun Xu
Chuwen Huang
Yibing Nan
Kai Wang
287
35
0
26 Sep 2022
DRAMA: Joint Risk Localization and Captioning in Driving
DRAMA: Joint Risk Localization and Captioning in DrivingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Srikanth Malla
Chiho Choi
Isht Dwivedi
Joonhyang Choi
Jiachen Li
358
176
0
22 Sep 2022
An Attention-guided Multistream Feature Fusion Network for Localization
  of Risky Objects in Driving Videos
An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving Videos
Muhammad Monjurul Karim
Ruwen Qin
Zhaozheng Yin
208
4
0
16 Sep 2022
Important Object Identification with Semi-Supervised Learning for
  Autonomous Driving
Important Object Identification with Semi-Supervised Learning for Autonomous DrivingIEEE International Conference on Robotics and Automation (ICRA), 2022
Jiachen Li
Haiming Gang
Hengbo Ma
Masayoshi Tomizuka
Chiho Choi
232
17
0
05 Mar 2022
Off-Policy Confidence Interval Estimation with Confounded Markov
  Decision Process
Off-Policy Confidence Interval Estimation with Confounded Markov Decision ProcessJournal of the American Statistical Association (JASA), 2022
C. Shi
Jin Zhu
Ye Shen
Shuang Luo
Hong Zhu
R. Song
OffRL
471
44
0
22 Feb 2022
Explainable Artificial Intelligence for Autonomous Driving: A
  Comprehensive Overview and Field Guide for Future Research Directions
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research DirectionsIEEE Access (IEEE Access), 2021
Shahin Atakishiyev
Mohammad Salameh
Hengshuai Yao
Randy Goebel
731
220
0
21 Dec 2021
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path
  Planning: Experimental Explorations with a Novel Dataset
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset
Ross Greer
J. Isa
Nachiket Deo
Akshay Rangesh
Mohan M. Trivedi
236
17
0
02 Dec 2021
From SLAM to Situational Awareness: Challenges and Survey
From SLAM to Situational Awareness: Challenges and Survey
Hriday Bavle
Jose Luis Sanchez-Lopez
Claudio Cimarelli
E. Schmidt
J. López
791
61
0
01 Oct 2021
DROID: Driver-centric Risk Object Identification
DROID: Driver-centric Risk Object Identification
Chengxi Li
Stanley H. Chan
Yi-Ting Chen
384
13
0
24 Jun 2021
Grounded Relational Inference: Domain Knowledge Driven Explainable
  Autonomous Driving
Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving
Chen Tang
Nishan Srishankar
Sujitha Martin
Masayoshi Tomizuka
278
12
0
23 Feb 2021
Explainability of deep vision-based autonomous driving systems: Review
  and challenges
Explainability of deep vision-based autonomous driving systems: Review and challengesInternational Journal of Computer Vision (IJCV), 2021
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
521
219
0
13 Jan 2021
Driving Behavior Explanation with Multi-level Fusion
Driving Behavior Explanation with Multi-level FusionPattern Recognition (Pattern Recognit.), 2020
H. Ben-younes
Éloi Zablocki
Patrick Pérez
Matthieu Cord
174
38
0
09 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 NetworksIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Videsh Suman
Phu-Cuong Pham
Aniket Bera
GNN
442
4
0
17 Nov 2020
Provably Efficient Causal Reinforcement Learning with Confounded
  Observational Data
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data
Lingxiao Wang
Zhuoran Yang
Zhaoran Wang
OffRL
267
58
0
22 Jun 2020
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