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2012.15441
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DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data
International Conference on Human Factors in Computing Systems (CHI), 2020
31 December 2020
Erfan Pakdamanian
Shili Sheng
Sonia Baee
Seongkook Heo
Sarit Kraus
Lu Feng
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Papers citing
"DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data"
17 / 17 papers shown
Driver-Net: Multi-Camera Fusion for Assessing Driver Take-Over Readiness in Automated Vehicles
Mahdi Rezaei
Mohsen Azarmi
232
1
0
05 Jul 2025
High-Precision Transformer-Based Visual Servoing for Humanoid Robots in Aligning Tiny Objects
Jialong Xue
Wei Gao
Y. Wang
Chao Ji
Dongdong Zhao
Shi Yan
Shiwu Zhang
416
6
0
06 Mar 2025
Learning from Active Human Involvement through Proxy Value Propagation
Neural Information Processing Systems (NeurIPS), 2025
Zhenghao Peng
Wenjie Mo
Chenda Duan
Quanyi Li
Bolei Zhou
490
30
0
05 Feb 2025
DualTake: Predicting Takeovers across Mobilities for Future Personalized Mobility Services
Z. Zheng
Kumar Akash
Teruhisa Misu
157
1
0
18 Jan 2024
AutoExp: A multidisciplinary, multi-sensor framework to evaluate human activities in self-driving cars
C. Crispim
Romain Guesdon
C. Jallais
F. Laroche
Stéphanie Souche-Le Corvec
Laure Tougne Rodet
172
4
0
05 Jun 2023
F-RDW: Redirected Walking with Forecasting Future Position
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Sang-Bin Jeon
Ja-Hyun Jung
Jeongseok Lee
In-Kwon Lee
278
12
0
07 Apr 2023
AutoVis: Enabling Mixed-Immersive Analysis of Automotive User Interface Interaction Studies
International Conference on Human Factors in Computing Systems (CHI), 2023
Pascal Jansen
Julian Britten
Alexander Häusele
Thilo Segschneider
Mark Colley
Enrico Rukzio
217
36
0
21 Feb 2023
Multi-modal Machine Learning in Engineering Design: A Review and Future Directions
Journal of Computing and Information Science in Engineering (JCISE), 2023
Binyang Song
Ruilin Zhou
Faez Ahmed
AI4CE
429
71
0
14 Feb 2023
A Design Space for Human Sensor and Actuator Focused In-Vehicle Interaction Based on a Systematic Literature Review
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2022
Pascal Jansen
Mark Colley
Enrico Rukzio
264
30
0
22 Oct 2022
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
301
17
0
29 Aug 2022
Discrete-Event Controller Synthesis for Autonomous Systems with Deep-Learning Perception Components
R. Calinescu
Calum Imrie
Ravi Mangal
Genaína Nunes Rodrigues
C. Păsăreanu
Misael Alpizar Santana
Gricel Vázquez
368
14
0
07 Feb 2022
Multimodal Driver State Modeling through Unsupervised Learning
A. Tavakoli
Arsalan Heydarian
182
36
0
04 Oct 2021
Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation
Akshay Rangesh
Nachiket Deo
Ross Greer
Pujitha Gunaratne
Mohan M. Trivedi
244
16
0
27 Jul 2021
Driver State and Behavior Detection Through Smart Wearables
A. Tavakoli
Shashwat Kumar
M. Boukhechba
Arsalan Heydarian
236
15
0
28 Apr 2021
Maintaining driver attentiveness in shared-control autonomous driving
International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), 2021
R. Calinescu
Naif Alasmari
Mario Gleirscher
237
16
0
05 Feb 2021
Predictive Monitoring with Logic-Calibrated Uncertainty for Cyber-Physical Systems
International Conference on Cyber-Physical Systems (ICCPS), 2019
Meiyi Ma
John A. Stankovic
E. Bartocci
Lu Feng
472
31
0
31 Oct 2020
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning
IEEE International Conference on Computer Vision (ICCV), 2019
Sonia Baee
Erfan Pakdamanian
Inki Kim
Lu Feng
Vicente Ordonez
Laura E. Barnes
383
62
0
17 Dec 2019
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