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Jack Terwilliger
Jack Terwilliger
在 ucsd.edu 的电子邮件经过验证 - 首页
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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
230*2019
Deeptraffic: Crowdsourced hyperparameter tuning of deep reinforcement learning systems for multi-agent dense traffic navigation
L Fridman, J Terwilliger, B Jenik
arXiv preprint arXiv:1801.02805, 2018
382018
Eye contact between pedestrians and drivers
D AlAdawy, M Glazer, J Terwilliger, H Schmidt, J Domeyer, B Mehler, ...
arXiv preprint arXiv:1904.04188, 2019
262019
Hacking nonverbal communication between pedestrians and vehicles in virtual reality
H Schmidt, J Terwilliger, D AlAdawy, L Fridman
arXiv preprint arXiv:1904.01931, 2019
222019
MIT autonomous vehicle technology study: large-scale deep learning based analysis of driver behavior and interaction with automation. CoRR 1711.06976 (2019)
L Fridman, DE Brown, M Glazer, W Angell, S Dodd, B Jenik, J Terwilliger, ...
arXiv preprint arXiv:1711.06976, 2017
92017
Dynamics of pedestrian crossing decisions based on vehicle trajectories in large-scale simulated and real-world data
J Terwilliger, M Glazer, H Schmidt, J Domeyer, H Toyoda, B Mehler, ...
arXiv preprint arXiv:1904.04202, 2019
82019
Value of temporal dynamics information in driving scene segmentation
L Ding, J Terwilliger, R Sherony, B Reimer, L Fridman
IEEE Transactions on Intelligent Vehicles 7 (1), 113-122, 2021
72021
Mit driveseg (manual) dataset
L Ding, J Terwilliger, R Sherony, B Reimer, L Fridman
IEEE Dataport, doi 10, 2020
72020
Mit driveseg (manual) dataset for dynamic driving scene segmentation
L Ding, J Terwilliger, R Sherony, B Reimer, L Fridman
Technical report, 2020
42020
How 2- and 4-year-old children coordinate social interactions with peers
F Rossano, J Terwilliger, A Bangerter, E Genty, R Heesen, K Zuberbühler
Philisophical Transactions of the Royal Society B 377 (1859), 2022
12022
MIT DriveSeg (Semi-auto) Dataset: Large-scale Semi-automated Annotation of Semantic Driving Scenes
L Ding, M Glazer, J Terwilliger, B Reimer, L Fridman
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