Pre-Crash Scenario Typology for Crash Avoidance Research

By W. Najm, John D. Smith, M. Yanagisawa. 2007

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. B. R. Kiran
2. Ibrahim Sobh
3. Senthil Kumar Yogamani
4. Matthew O'Kelly
5. Victor Talpaert
6. Houssam Abbas
7. Rahul Mangharam
8. Patrick Mannion

Citations in the corpus

• Deep Reinforcement Learning for Autonomous Driving: A Survey (2020, methodology): “CARLA Challenge [100], is a Carla simulator based autonomous driving system challenge with pre-crash scenarios characterized in a National Highway Traffic Safety Administration report [101].”
• Computer-aided design for safe autonomous vehicles (2017, methodology): “The toolchain comes pre-loaded with five driving scenarios, drawn from the 2007 NHTSA accident analysis [14].”
• Explanations in Autonomous Driving: A Survey (2021, methodology): “others) as used in the National Highway Traffic Safety Administration (NHTSA) report [187] can be used to represent transitions between road and lane segments, and interaction with other road participants.”