Zobrazeno 1 - 10
of 432
pro vyhledávání: '"SCANLON, JOHN"'
Deployed SAE level 4+ Automated Driving Systems (ADS) without a human driver are currently operational ride-hailing fleets on surface streets in the United States. This current use case and future applications of this technology will determine where
Externí odkaz:
http://arxiv.org/abs/2410.08903
Autor:
Scanlon, John M., Teoh, Eric R., Kidd, David G., Kusano, Kristofer D., Bärgman, Jonas, Chi-Johnston, Geoffrey, Di Lillo, Luigi, Favaro, Francesca, Flannagan, Carol, Liers, Henrik, Lin, Bonnie, Lindman, Magdalena, McLaughlin, Shane, Perez, Miguel, Victor, Trent
The public, regulators, and domain experts alike seek to understand the effect of deployed SAE level 4 automated driving system (ADS) technologies on safety. The recent expansion of ADS technology deployments is paving the way for early stage safety
Externí odkaz:
http://arxiv.org/abs/2408.07758
Autor:
Scanlon, John M., Kusano, Kristofer D., Fraade-Blanar, Laura A., McMurry, Timothy L., Chen, Yin-Hsiu, Victor, Trent
With fully automated driving systems (ADS; SAE level 4) ride-hailing services expanding in the US, we are now approaching an inflection point, where the process of retrospectively evaluating ADS safety impact can start to yield statistically credible
Externí odkaz:
http://arxiv.org/abs/2312.13228
Autor:
Kusano, Kristofer D., Scanlon, John M., Chen, Yin-Hsiu, McMurry, Timothy L., Chen, Ruoshu, Gode, Tilia, Victor, Trent
This paper examines the safety performance of the Waymo Driver, an SAE level 4 automated driving system (ADS) used in a rider-only (RO) ride-hailing application without a human driver, either in the vehicle or remotely. ADS crash data was derived fro
Externí odkaz:
http://arxiv.org/abs/2312.12675
Autor:
Favaro, Francesca, Fraade-Blanar, Laura, Schnelle, Scott, Victor, Trent, Peña, Mauricio, Engstrom, Johan, Scanlon, John, Kusano, Kris, Smith, Dan
This paper presents an overview of Waymo's approach to building a reliable case for safety - a novel and thorough blueprint for use by any company building fully autonomous driving systems. A safety case for fully autonomous operations is a formal wa
Externí odkaz:
http://arxiv.org/abs/2306.01917
Autor:
Scanlon, John Michael
Intersection crashes are among the most frequent and lethal crash modes in the United States. Intersection Advanced Driver Assistance Systems (I-ADAS) are an emerging active safety technology which aims to help drivers safely navigate through interse
Externí odkaz:
http://hdl.handle.net/10919/85505
Autor:
Bangert, L. Garrett, Lubash, Theodore, Scanlon, John M., Kusano, Kristofer D., Riexinger, Luke E.
Publikováno v:
In Accident Analysis and Prevention December 2023 193
Autor:
Schubert, Angela, Babisch, Stefan, Scanlon, John M., Campolettano, Eamon T., Roessler, Robby, Unger, Thomas, McMurry, Timothy L.
Publikováno v:
In Accident Analysis and Prevention September 2023 190
Autor:
Schubert, Angela, Campolettano, Eamon T., Scanlon, John M., McMurry, Timothy L., Unger, Thomas
Publikováno v:
Traffic Injury Prevention; 2024 Suppl 1, Vol. 25, pS105-S115, 11p
Autor:
Kusano, Kristofer D., Scanlon, John M., Chen, Yin-Hsiu, McMurry, Timothy L., Chen, Ruoshu, Gode, Tilia, Victor, Trent
Publikováno v:
Traffic Injury Prevention; 2024 Suppl 1, Vol. 25, pS66-S77, 12p