Simulation Techniques of Digital Twin in Real-Time Applications

3Implementation of Automatic Driving Car Test Approach Based on a Digital Twinning Technology and by Embedding Artificial Intelligence

Pranjal Shukla^*, Chahil Choudhary, Anurag and Jatin Thakur

Department of Computer Science and Engineering, Chandigarh University, Mohali, Punjab, India

Abstract

Autonomous or self-driving vehicle testing is a process that evaluates and certifies the performance, safety, and reliability of a vehicle. Before the cars are put on the road, these tests ensure that the automatic driving system works as intended and complies with the rules. Testing of self-driving vehicles often involves a variety of assessments, including functionality, efficiency, safety, and real-life testing. The goal is to ensure that the autonomous system accurately recognizes its environment, makes intelligent decisions, and performs control actions in various driving situations. The term “automated passenger car test” refers to a system that uses digital twin technology and embedded artificial intelligence (AI) to improve autonomous vehicle testing. A digital twin creates a virtual copy or simulation of a real system or object. A virtual model that reproduces the parts, sensors, software, and environment of a car is called a “digital twin” in the context of automated vehicles. Using digital twin technology in the testing methodology, developers can reproduce and evaluate the behavior of an automated vehicle in a controlled virtual environment. This eliminates the need for ...