팔로우
Erfan Pakdamanian
제목
인용
인용
연도
Deeptake: Prediction of driver takeover behavior using multimodal data
E Pakdamanian, S Sheng, S Baee, S Heo, S Kraus, L Feng
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021
622021
Medirl: Predicting the visual attention of drivers via maximum entropy deep inverse reinforcement learning
S Baee, E Pakdamanian, I Kim, L Feng, V Ordonez, L Barnes
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
55*2021
A Case Study of Trust on Autonomous Driving
S Sheng, E Pakdamanian, K Han, BG Kim, P Tiwari, I Kim, L Feng
2019 IEEE Intelligent Transportation Systems(ITSC), 4368-4373, 2019
322019
The effect of whole-body haptic feedback on driver’s perception in negotiating a curve
E Pakdamanian, L Feng, I Kim
Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62 (1 …, 2018
212018
Toward minimum startle after take-over request: A preliminary study of physiological data
E Pakdamanian, N Namaky, S Sheng, I Kim, JA Coan, L Feng
12th International Conference on Automotive User Interfaces and Interactive …, 2020
162020
Trust-based route planning for automated vehicles
S Sheng, E Pakdamanian, K Han, Z Wang, J Lenneman, L Feng
Proceedings of the ACM/IEEE 12th International Conference on Cyber-Physical …, 2021
122021
Planning for automated vehicles with human trust
S Sheng, E Pakdamanian, K Han, Z Wang, J Lenneman, D Parker, L Feng
ACM Transactions on Cyber-Physical Systems 6 (4), 1-21, 2022
72022
Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving
E Pakdamanian, E Hu, S Sheng, S Kraus, S Heo, L Feng
Proceedings of the 14th International Conference on Automotive User …, 2022
62022
Formal Analysis of a Neural Network Predictor in Shared-Control Autonomous Driving
JM Grese, C Pasareanu, E Pakdamanian
AIAA Scitech 2021 Forum, 1580, 2021
42021
Fundamentals and emerging trends of neuroergonomic applications to driving and navigation
I Kim, E Pakdamanian, V Hiremath
Neuroergonomics: Principles and Practice, 389-406, 2020
42020
Exploring gaze behavior to assess performance in digital game-based learning systems
B An, I Kim, E Pakdamanian, DE Brown
2018 winter simulation conference (WSC), 2447-2458, 2018
42018
Simulating the effect of workers' mood on the productivity of assembly lines
E Pakdamanian, N Shiyamsunthar, D Claudio
2016 Winter Simulation Conference (WSC), 3440-3451, 2016
42016
Application of the Minimax Control Chartfor multivariate manufacturing process
MH Balali, N Nouri, E Pakdamanian
International Research Journal of Applied and Basic Sciences 4 (3), 654-661, 2013
42013
A study on learning and simulating personalized car-following driving style
S Sheng, E Pakdamanian, K Han, Z Wang, L Feng
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
32022
Discrete Event Simulation of Driver’s Routing Behavior Rule at a Road Intersection
B Benzaman, E Pakdamanian
2019 Winter Simulation Conference (WSC), 1801-1812, 2019
22019
Exploring the experiential impact of online propaganda using eye-gaze and pupil dilation: A comparison across three ideological groups
M Heidarysafa, S Dalpe, S Kiefner, E Pakdamanian, I Kim, DE Brown, ...
US Department of Justice O ce of Justice Programs, 2019
12019
1.2. 1 Considering human/machine interactions
E Pakdamanian, S Sheng, S Baee, S Heo, S Kraus, L Feng
2021
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning (Supplementary Material)
S Baee, E Pakdamanian, I Kim, L Feng, V Ordonez, L Barnes
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–18