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Scott Schnelle
Scott Schnelle
Engineer, Applied Crash Avoidance Research Division, NHTSA
Verified email at osu.edu
Title
Cited by
Cited by
Year
A gain-scheduling driver assistance trajectory-following algorithm considering different driver steering characteristics
J Wang, G Zhang, R Wang, SC Schnelle, J Wang
IEEE Transactions on Intelligent Transportation Systems 18 (5), 1097-1108, 2016
1242016
A driver steering model with personalized desired path generation
S Schnelle, J Wang, H Su, R Jagacinski
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (1), 111-120, 2016
1052016
A personalizable driver steering model capable of predicting driver behaviors in vehicle collision avoidance maneuvers
S Schnelle, J Wang, HJ Su, R Jagacinski
IEEE Transactions on Human-Machine Systems 47 (5), 625-635, 2016
962016
A feedforward and feedback integrated lateral and longitudinal driver model for personalized advanced driver assistance systems
S Schnelle, J Wang, R Jagacinski, H Su
Mechatronics 50, 177-188, 2018
592018
Model predictive instantaneous safety metric for evaluation of automated driving systems
B Weng, SJ Rao, E Deosthale, S Schnelle, F Barickman
2020 IEEE Intelligent Vehicles Symposium (IV), 1899-1906, 2020
412020
Collision avoidance testing of the waymo automated driving system
KD Kusano, K Beatty, S Schnelle, F Favaro, C Crary, T Victor
arXiv preprint arXiv:2212.08148, 2022
142022
Review of simulation frameworks and standards related to driving scenarios
SC Schnelle, MK Salaani, SJ Rao, FS Barickman, D Elsasser
United States. Department of Transportation. National Highway Traffic Safety …, 2019
142019
A novel method to evaluate the safety of highly automated vehicles
JL Every, F Barickman, J Martin, S Rao, S Schnelle, B Weng
25th International Technical Conference on the Enhanced Safety of Vehicles …, 2017
142017
Building a Credible Case for Safety: Waymo's Approach for the Determination of Absence of Unreasonable Risk
F Favaro, L Fraade-Blanar, S Schnelle, T Victor, M Peña, J Engstrom, ...
arXiv preprint arXiv:2306.01917, 2023
122023
Sensitivity analysis of human driving characteristics on road and driving conditions for active vehicle control systems
S Schnelle, J Wang
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014
102014
Advanced test tools for ADAS and ADS
H Albrecht, FS Barickman, SC Schnelle
United States. Department of Transportation. National Highway Traffic Safety …, 2021
52021
Modeled exploration of proposed safety assessment metrics for ADS
B Weng, SJ Rao, E Deosthale, T Seitz, S Schnelle, F Barickman
SAE Government Industry Meeting, 2020
32020
A method for evaluating automated vehicle safety
J Every, J Martin, F Barickman, S Rao, S Schnelle, B Weng
SAE Government Industry Meeting, 2016
32016
A Test Track Comparison of the Global Vehicle Target (GVT) and NHTSA’s Strikeable Surrogate Vehicle (SSV)
AC Snyder, GJ Forkenbrock, IJ Davis, BC O'Harra, SC Schnelle
United States. Department of Transportation. National Highway Traffic Safety …, 2019
22019
Interpreting Safety Outcomes: Waymo's Performance Evaluation in the Context of a Broader Determination of Safety Readiness
FM Favaro, T Victor, H Hohnhold, S Schnelle
arXiv preprint arXiv:2306.14923, 2023
12023
An applied review of simulation validation approaches on a vehicle dynamics model
K Salaani, SJ Rao, JG Howe, D Elsasser, SC Schnelle
United States. Department of Transportation. National Highway Traffic Safety …, 2021
12021
An approach for the selection and description of elements used to define driving scenarios
SJ Rao, E Deosthale, FS Barickman, D Elsasser, SC Schnelle
United States. Department of Transportation. National Highway Traffic Safety …, 2021
12021
Directional Control Driver Model with Desired Path Generation
S Schnelle, J Wang, H Su, R Jagacinski
2015 IEEE International Conference on Systems, Man, and Cybernetics, 2498-2503, 2015
12015
An Approach for the Selection and Description of Elements Used to Define Driving Scenarios–Part II
SJ Rao, K Salaani, G Howe, FS Barickman, D Elsasser, SC Schnelle
United States. Department of Transportation. National Highway Traffic Safety …, 2023
2023
ADS Standardization Landscape: Making Sense of its Status and of the Associated Research Questions
S Schnelle, FM Favaro
arXiv preprint arXiv:2306.17682, 2023
2023
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