Simulation and Post-Processing for Advanced Driver Assistance System (ADAS)

Abstract

Considering the continuous development in the automotive sector and autonomous driving technology, it is necessary to conduct continuous research to identify the main points that can allow continuous improvement of system autonomy. In addition to designing new components, an important aspect is characterizing the test procedures uniformly. The present work is related to analyzing the testing phases of a vehicle concerning the post-processing of the tests, using suitable software and routines, and creating an overall summary report that includes information on the type of instrumentation and type of test and post-processing results. The paper proposes the generation of an innovative tool designed to improve the generation capacity of test maneuvers for Advanced Driver Assistance Systems (ADASs) and to automate the collection and analysis phase of data relating to tests for a Lane System’s Support System (LSS), Autonomous Emergency Braking (AEB), and Car to Pedestrian Nearside Child (CPNC) comply with Euro NCAP LSS 3.0.2, Euro NCAP AEB C2C 3.0.2 and UNECE R-152. The goal was achieved with the collaboration of the company Nardò Technical Center S.r.l. The entire post-processing routine was developed from data relating to experimental tests carried out in the company.

Research on Specific Scenario Generation Methods for Autonomous Driving Simulation Tests

“…In 2014, Euro-NCAP released a test standard for the AEB systems, which specifies two test methods and evaluation criteria for automatic emergency braking, including automatic emergency braking for vehicle-to-vehicle (C2C) and automatic emergency braking for vehicles and vulnerable road users such as pedestrians, autonomous vehicles, and VRU [32]. Among them, the evaluation criteria of the AEB testing for vehicle-to-vehicle (C2C) mainly focus on the scenario where the test vehicle is rear-ended with the target vehicle, i.e., the front vehicle.…”