Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Ritchie Lee"'
Publikováno v:
AIAA SCITECH 2022 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68d280d5f683f8e52868cbf41a65580c
https://doi.org/10.2514/6.2022-1854
https://doi.org/10.2514/6.2022-1854
Autor:
Joachim Karl Ulf Hochwarth, Ritchie Lee, Heber Herencia-Zapana, Robert J. Moss, Vidhya Tekken Valapil, Mike Meiners, Nicholas Visser, Michael Richard Durling, Baoluo Meng
Publikováno v:
2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC).
Adaptive Stress Testing (AST) has shown promise in identifying errant corner cases in complex software used in aerospace applications including Flight Management Systems (FMS). The strength of AST is performing test-based validation and verification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ada56ff5257f59d27173538c7db21858
https://doi.org/10.1109/dasc52595.2021.9594395
https://doi.org/10.1109/dasc52595.2021.9594395
Publikováno v:
AIAA Scitech 2021 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::748bed668069b8ce91cf154e5076c065
https://doi.org/10.2514/6.2021-1885
https://doi.org/10.2514/6.2021-1885
Publikováno v:
ITSC
An open question in autonomous driving is how best to use simulation to validate the safety of autonomous vehicles. Existing techniques rely on simulated rollouts, which can be inefficient for finding rare failure events, while other techniques are d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d8bff000b53490de86c4f9417963aca
https://doi.org/10.1109/itsc45102.2020.9294636
https://doi.org/10.1109/itsc45102.2020.9294636
Publikováno v:
AIAA Scitech 2020 Forum.
Deep neural networks are used increasingly for perception and decision-making in UAVs. For example, they can be used to recognize objects from images and decide what actions the vehicle should take. While deep neural networks can perform very well at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::faac6eb862e7aa789bee04995b4acc23
https://doi.org/10.2514/6.2020-2098
https://doi.org/10.2514/6.2020-2098
Publikováno v:
ITSC
Neural networks have become state-of-the-art for computer vision problems because of their ability to efficiently model complex functions from large amounts of data. While neural networks can be shown to perform well empirically for a variety of task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a64007bdc48e2794854e92e4855bac6
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030557539
The original versions of this book and Chapter 14 were revised. The following was corrected:Dimitra Giannakopoulou, the General Chair of the NFM 2020 conference, was inadvertently forgotten and, therefore, added as a volume editor.Chapter 14 was retr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29d251bd0dd8c94b6bf646205fc6f154
https://doi.org/10.1007/978-3-030-55754-6_26
https://doi.org/10.1007/978-3-030-55754-6_26
Autor:
Nicholas Visser, Robert J. Moss, Mykel J. Kochenderfer, Joachim Karl Ulf Hochwarth, James Gerard Lopez, Ritchie Lee
To find failure events and their likelihoods in flight-critical systems, we investigate the use of an advanced black-box stress testing approach called adaptive stress testing. We analyze a trajectory predictor from a developmental commercial flight
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4604d1979473b2167f7019df4f0dc4ac
Publikováno v:
Intelligent Vehicles Symposium
This paper presents a method for testing the decision making systems of autonomous vehicles. Our approach involves perturbing stochastic elements in the vehicle's environment until the vehicle is involved in a collision. Instead of applying direct Mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ca2fc35c9f5e3f15f2f770a6ebe32cc
http://arxiv.org/abs/1902.01909
http://arxiv.org/abs/1902.01909
Autor:
Adrian Agogino, Ole J. Mengshoel, Ritchie Lee, Dimitra Giannakoupoulou, B. Danette Allen, Javier Puig Navarro, Mykel J. Kochenderfer
Publikováno v:
AIAA Scitech 2019 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1d16f2b9da0069879e27bf3d66fb07d
https://doi.org/10.2514/6.2019-1454
https://doi.org/10.2514/6.2019-1454