Lex Fridman
Sitert av
Sitert av
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation
L Fridman, J Terwilliger, B Jenik
Neural Information Processing Systems (NIPS 2018) Deep Reinforcement …, 2018
MIT advanced vehicle technology study: Large-scale naturalistic driving study of driver behavior and interaction with automation
L Fridman, DE Brown, M Glazer, W Angell, S Dodd, B Jenik, J Terwilliger, ...
IEEE Access 7, 102021-102038, 2019
Active authentication on mobile devices via stylometry, application usage, web browsing, and GPS location
L Fridman, S Weber, R Greenstadt, M Kam
IEEE Systems Journal 11 (2), 513-521, 2016
Learning human identity from motion patterns
N Neverova, C Wolf, G Lacey, L Fridman, D Chandra, B Barbello, G Taylor
IEEE Access 4, 1810-1820, 2016
Driver gaze region estimation without use of eye movement
L Fridman, P Langhans, J Lee, B Reimer
IEEE Intelligent Systems 31 (3), 49-56, 2016
To walk or not to walk: Crowdsourced assessment of external vehicle-to-pedestrian displays
L Fridman, B Mehler, L Xia, Y Yang, LY Facusse, B Reimer
arXiv preprint arXiv:1707.02698, 2017
Cognitive load estimation in the wild
L Fridman, B Reimer, B Mehler, WT Freeman
Proceedings of the 2018 chi conference on human factors in computing systems …, 2018
A machine learning approach for power allocation in HetNets considering QoS
R Amiri, H Mehrpouyan, L Fridman, RK Mallik, A Nallanathan, D Matolak
2018 IEEE international conference on communications (ICC), 1-7, 2018
Owl and Lizard: patterns of head pose and eye pose in driver gaze classification
L Fridman, J Lee, B Reimer, T Victor
IET Computer Vision 10 (4), 308-314, 2016
Human-centered autonomous vehicle systems: Principles of effective shared autonomy
L Fridman
arXiv preprint arXiv:1810.01835, 2018
Multi-modal decision fusion for continuous authentication
L Fridman, A Stolerman, S Acharya, P Brennan, P Juola, R Greenstadt, ...
Computers & Electrical Engineering 41, 142-156, 2015
Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions
L Fridman, L Ding, B Jenik, B Reimer
arXiv preprint arXiv:1710.04459, 2017
Detecting road surface wetness from audio: A deep learning approach
I Abdić, L Fridman, DE Brown, W Angell, B Reimer, E Marchi, B Schuller
2016 23rd International Conference on Pattern Recognition (ICPR), 3458-3463, 2016
What can be predicted from six seconds of driver glances?
L Fridman, H Toyoda, S Seaman, B Seppelt, L Angell, J Lee, B Mehler, ...
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017
Driver frustration detection from audio and video in the wild
I Abdic, L Fridman, D McDuff, E Marchi, B Reimer, B Schuller
Proceedings of the KI, 237, 2016
Automated synchronization of driving data using vibration and steering events
L Fridman, DE Brown, W Angell, I Abdić, B Reimer, HY Noh
Pattern Recognition Letters 75, 9-15, 2016
Eye contact between pedestrians and drivers
D AlAdawy, M Glazer, J Terwilliger, H Schmidt, J Domeyer, B Mehler, ...
arXiv preprint arXiv:1904.04188, 2019
Distinguishing patterns in drivers’ visual attention allocation using Hidden Markov Models
M Muñoz, B Reimer, J Lee, B Mehler, L Fridman
Transportation research part F: traffic psychology and behaviour 43, 90-103, 2016
Behavioral impact of drivers' roles in automated driving
B Reimer, A Pettinato, L Fridman, J Lee, B Mehler, B Seppelt, J Park, ...
Proceedings of the 8th international conference on automotive user …, 2016
Decision fusion for multimodal active authentication
L Fridman, A Stolerman, S Acharya, P Brennan, P Juola, R Greenstadt, ...
IT Professional 15 (4), 29-33, 2013
Systemet kan ikke utføre handlingen. Prøv på nytt senere.
Artikler 1–20