SAFR-AV: Safety Analysis of Autonomous Vehicles using Real World Data - An end-to-end solution for real world data driven scenario-based testing for pre-certification of AV stacks.
Sagar PathrudkarSaadhana VenkataramanDeepika KanadeAswin AjayanPalash GuptaShehzaman KhatibVijaya Sarathi IndlaSaikat MukherjeePublished in: CoRR (2023)
Keyphrases
- end to end
- data driven
- real world
- autonomous vehicles
- safety analysis
- fault model
- path planning
- congestion control
- text localization and recognition
- real time
- mathematical model
- fault tolerant
- control system
- obstacle avoidance
- knowledge based systems
- dynamic environments
- knowledge base
- artificial intelligence
- learning algorithm