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Benedikt Jenik
Benedikt Jenik
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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
2062019
MIT autonomous vehicle technology study: Large-scale deep learning based analysis of driver behavior and interaction with automation
L Fridman, DE Brown, M Glazer, W Angell, S Dodd, B Jenik, J Terwilliger, ...
arXiv preprint arXiv:1711.06976 1 (9), 2017
1202017
Arguing machines: Perceptioncontrol system redundancy and edge case discovery in real-world autonomous driving
L Fridman, B Jenik, B Reimer
arXiv preprint arXiv:1710.04459, 2017
68*2017
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
482018
Deeptraffic: Driving fast through dense traffic with deep reinforcement learning
L Fridman, B Jenik, J Terwilliger
arXiv preprint arXiv:1801.02805, 2018
292018
Sideeye: A generative neural network based simulator of human peripheral vision
L Fridman, B Jenik, S Keshvari, B Reimer, C Zetzsche, R Rosenholtz
arXiv preprint arXiv:1706.04568, 2017
122017
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
& Reimer, B.(2019)
L Fridman, DE Brown, M Glazer, W Angell, S Dodd, B Jenik
MIT advanced vehicle technology study: Large-scale naturalistic driving …, 0
5
A fast foveated fully convolutional network model for human peripheral vision
L Fridman, B Jenik, S Keshvari, B Riemer, C Zetzsche, R Rosenholtz
Verlag nicht ermittelbar, 2017
32017
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Artikler 1–9