A Risk-index based Sampling Method to Generate Scenarios for the Evaluation of Automated Driving Vehicle Safety.
Yasuhiro AkagiRyosuke KatoSou KitajimaJacobo Antona-MakoshiNobuyuki UchidaPublished in: ITSC (2019)
Keyphrases
- intelligent vehicles
- traffic accidents
- real time
- fuel consumption
- driver assistance systems
- traffic safety
- vehicle detection
- evaluation model
- driving behavior
- road safety
- semi automated
- decision making
- real world
- data sets
- inverted index
- traffic congestion
- risk management
- fully automated
- pedestrian detection
- learning scenarios
- vehicle speed
- autonomous driving
- dangerous situations