Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Phillips, Derek J."'
Autor:
Bhattacharyya, Raunak P., Phillips, Derek J., Liu, Changliu, Gupta, Jayesh K., Driggs-Campbell, Katherine, Kochenderfer, Mykel J.
Recent developments in multi-agent imitation learning have shown promising results for modeling the behavior of human drivers. However, it is challenging to capture emergent traffic behaviors that are observed in real-world datasets. Such behaviors a
Externí odkaz:
http://arxiv.org/abs/1903.05766
Autor:
Phillips, Derek J., Aragon, Juan Carlos, Roychowdhury, Anjali, Madigan, Regina, Chintakindi, Sunil, Kochenderfer, Mykel J.
Many automotive applications, such as Advanced Driver Assistance Systems (ADAS) for collision avoidance and warnings, require estimating the future automotive risk of a driving scene. We present a low-cost system that predicts the collision risk over
Externí odkaz:
http://arxiv.org/abs/1902.01293
Autor:
Bhattacharyya, Raunak P., Phillips, Derek J., Wulfe, Blake, Morton, Jeremy, Kuefler, Alex, Kochenderfer, Mykel J.
Simulation is an appealing option for validating the safety of autonomous vehicles. Generative Adversarial Imitation Learning (GAIL) has recently been shown to learn representative human driver models. These human driver models were learned through t
Externí odkaz:
http://arxiv.org/abs/1803.01044
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Bhattacharyya, Raunak, Wulfe, Blake, Phillips, Derek J., Kuefler, Alex, Morton, Jeremy, Senanayake, Ransalu, Kochenderfer, Mykel J.
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems; 2023, Vol. 24 Issue: 3 p2874-2887, 14p