Zobrazeno 1 - 10 of 11 pro vyhledávání: '"Johan Fanas Rojas"'
1
Akademický článek
Automated Vehicle Lane Centering System Requirements Informed by Resilience Engineering and a Solution Using Infrastructure-Based Sensors
Autor: Johan Fanas Rojas, Pritesh Patil, Alexandra M. Masterson, Thomas H. Bradley, Ali Riza Ekti, Zachary D. Asher
Publikováno v: IEEE Access, Vol 12, Pp 97605-97620 (2024)
Advancements in driving automation systems such as Lane Keeping Assist has shown improvements in safety by reducing traffic accidents. Nonetheless, despite the promise of these technologies, some studies have shown statistical data that such systems
Externí odkaz: https://doaj.org/article/0e94d075b220438e993be07355b2801a
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2
Akademický článek
Automated Lane Centering: An Off-the-Shelf Computer Vision Product vs. Infrastructure-Based Chip-Enabled Raised Pavement Markers
Autor: Parth Kadav, Sachin Sharma, Johan Fanas Rojas, Pritesh Patil, Chieh (Ross) Wang, Ali Riza Ekti, Richard T. Meyer, Zachary D. Asher
Publikováno v: Sensors, Vol 24, Iss 7, p 2327 (2024)
Safe autonomous vehicle (AV) operations depend on an accurate perception of the driving environment, which necessitates the use of a variety of sensors. Computational algorithms must then process all of this sensor data, which typically results in a
Externí odkaz: https://doaj.org/article/d1dcd5984cfa4c8a8e809b57e01bc24b
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3
Road Snow Coverage Estimation Using Camera and Weather Infrastructure Sensor Inputs
Autor: Parth Kadav, Nicholas A Goberville, Kyle Prins, Amanda Siems-Anderson, Curtis Walker, Farhang Motallebiaraghi, Kyle Carow, Johan Fanas Rojas, Guan Yue Hong, Zachary Asher
Publikováno v: SAE Technical Paper Series.
Modern vehicles use automated driving assistance systems (ADAS) products to automate certain aspects of driving, which improves operational safety. In the U.S. in 2020, 38,824 fatalities occurred due to automotive accidents, and typically about 25% o
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::557ee18c60bf0db9fd8a3dd44ebc4ece
https://doi.org/10.4271/2023-01-0057
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4
Quantitative Resilience Assessment of GPS, IMU, and LiDAR Sensor Fusion for Vehicle Localization Using Resilience Engineering Theory
Autor: Johan Fanas Rojas, Parth Kadav, Nicolas Brown, Rick Meyer, Thomas Bradley, Zachary Asher
Publikováno v: SAE Technical Paper Series.
Practical applications of recently developed sensor fusion algorithms perform poorly in the real world due to a lack of proper evaluation during development. Existing evaluation metrics do not properly address a wide variety of testing scenarios. Thi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0f96e26ae3b7d412ffab094b3c2f700f
https://doi.org/10.4271/2023-01-0576
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5
Projecting Lane Lines from Proxy High-Definition Maps for Automated Vehicle Perception in Road Occlusion Scenarios
Autor: Kyle Carow, Parth Kadav, Johan Fanas Rojas, Zachary Asher
Publikováno v: SAE Technical Paper Series.
Contemporary ADS and ADAS localization technology utilizes real-time perception sensors such as visible light cameras, radar sensors, and lidar sensors, greatly improving transportation safety in sufficiently clear environmental conditions. However,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::004537266e913718968ffb9a500fcb42
https://doi.org/10.4271/2023-01-0051
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6
Autonomous Eco-Driving Evaluation of an Electric Vehicle on a Chassis Dynamometer
Autor: Farhang Motallebiaraghi, Aaron Rabinowitz, Johan Fanas Rojas, Parth Kadav, Damon A. Miller, Thomas Bradley, Rick Meyer, Zachary Asher
Publikováno v: SAE Technical Paper Series.
Connected and Automated Vehicles (CAV) provide new prospects for energy-efficient driving due to their improved information accessibility, enhanced processing capacity, and precise control. The idea of the Eco-Driving (ED) control problem is to perfo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4311f087155b32f45e7aa9254350e93c
https://doi.org/10.4271/2023-01-0715
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7
Vehicle Lateral Offset Estimation Using Infrastructure Information for Reduced Compute Load
Autor: Sachin Sharma, Johan Fanas Rojas, Ali Riza Ekti, Chieh (Ross) Wang, Zachary Asher, Rick Meyer
Publikováno v: SAE Technical Paper Series.
Accurate perception of the driving environment and a highly accurate position of the vehicle are paramount to safe Autonomous Vehicle (AV) operation. AVs gather data about the environment using various sensors. For a robust perception and localizatio
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a7dae3a1cfbd216d04e0eb6a85792e6d
https://doi.org/10.4271/2023-01-0800
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