22 citations · 59 across the 6 of their papers we have counts for
6 papers
Simulation Assessment Guidelines towards Independent Safety Assurance of Autonomous Vehicles
Jim Cherian, Martin Slavik, Andrea Piazzoni +3
This Simulation Assessment Guidelines document is a public guidelines document developed by the Centre of Excellence for Testing & Research of AVs - NTU (CETRAN) in collaboration w…
PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles
Andrea Piazzoni, Jim Cherian, Justin Dauwels +1
Even though virtual testing of Autonomous Vehicles (AVs) has been well recognized as essential for safety assessment, AV simulators are still undergoing active development. One par…
CoPEM: Cooperative Perception Error Models for Autonomous Driving
Andrea Piazzoni, Jim Cherian, Roshan Vijay +2
In this paper, we introduce the notion of Cooperative Perception Error Models (coPEMs) towards achieving an effective and efficient integration of V2X solutions within a virtual te…
Optimal Placement of Roadside Infrastructure Sensors towards Safer Autonomous Vehicle Deployments
Roshan Vijay, Jim Cherian, Rachid Riah +2
Vehicles with driving automation are increasingly being developed for deployment across the world. However, the onboard sensing and perception capabilities of such automated or aut…
ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous Vehicles
Andrea Piazzoni, Jim Cherian, Mohamed Azhar +3
In this paper, we present ViSTA, a framework for Virtual Scenario-based Testing of Autonomous Vehicles (AV), developed as part of the 2021 IEEE Autonomous Test Driving AI Test Chal…
Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles
Andrea Piazzoni, Jim Cherian, Martin Slavik +1
Sensing and Perception (S&P) is a crucial component of an autonomous system (such as a robot), especially when deployed in highly dynamic environments where it is required to react…