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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

17 December 2019
Sonia Baee
Erfan Pakdamanian
Inki Kim
Lu Feng
Vicente Ordonez
Laura E. Barnes
ArXivPDFHTML

Papers citing "MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning"

10 / 10 papers shown
Title
Nexar Dashcam Collision Prediction Dataset and Challenge
Daniel C. Moura
Shizhan Zhu
Orly Zvitia
66
0
0
05 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
43
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
50
0
0
25 Jan 2025
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
30
2
0
05 Dec 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
12
1
0
25 May 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
26
13
0
19 Dec 2022
Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings
  for Automated Driving
Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving
Erfan Pakdamanian
Erzhen Hu
Shili Sheng
Sarit Kraus
Seongkook Heo
Lu Feng
33
11
0
29 Aug 2022
ORCLSim: A System Architecture for Studying Bicyclist and Pedestrian
  Physiological Behavior Through Immersive Virtual Environments
ORCLSim: A System Architecture for Studying Bicyclist and Pedestrian Physiological Behavior Through Immersive Virtual Environments
Xiang Guo
A. Angulo
Erin Robartes
T. D. Chen
Arsalan Heydarian
13
19
0
06 Dec 2021
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
14
11
0
19 Nov 2021
DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data
DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data
Erfan Pakdamanian
Shili Sheng
Sonia Baee
Seongkook Heo
Sarit Kraus
Lu Feng
60
71
0
31 Dec 2020
1