SceVar (Scenario Variations) Database: Real World Statistics driven Scenario Variations for AV Testing in Simulation: Abstraction of static and dynamic entities from road network-traffic ecosystem and their interactions or relationships in semantic data models for realistic simulation-based testing of AVs. - Sagar Pathrudkar; Saikat Mukherjee; Vijaya Sarathi; Manish Chowdhary (WebSci (Companion), 2021)

Vector-Based Semantic Scenario Search for Vehicular Traffic. - A. P. Bhoomika; Srinath Srinivasa; Vijaya Sarathi Indla; Saikat Mukherjee (BDA (Astronomy, Science, and Engineering), 2023)

Framework and Algorithms for Data Analytics, Semantic Querying and Realistic Modelling of Traffic. - Sagar Pathrudkar; Guido Schroeer; Vijaya Sarathi Indla; Saikat Mukherjee (VEHITS, 2023)

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 Pathrudkar; Saadhana Venkataraman; Deepika Kanade; Aswin Ajayan; Palash Gupta; Shehzaman Salim Khatib; Vijaya Sarathi Indla; Saikat Mukherjee (VEHITS, 2023)