Methodical Approach to Preparedness of India Specific Automotive Database Matrix with Example of AEB Scenarios ARAI

Format:

Book

Conference/Event

Author/Creator:

Behere, Sayali Rajendra, author.

Contributor:

Karle, Manish

Karle, Ujjwala

Conference Name:

Symposium on International Automotive Technology (2026) (2026-01-28 : Pune, India)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2026

Summary:

The purpose of this report is to identify systematic approach of formation of India specific automotive database matrix. At first the paper reviews the practices used to prepare automotive dataset catalogue with established pattern to showcase automotive dataset from which appropriate data clusters can be picked up judiciously in order to train ADAS algorithms. The work applies this framework which helps to establish strategy to build a grid in which Indian automotive dataset can be contoured and selection of serviceable data bunches can be picked. This would make sure prompt selection of database aiming model training with valid input. This serves the purpose of implementation and evaluation of varied ADAS levels in India which insist upon good quality of distinguished dataset pertaining to Indian scenarios. The paper describes the approach with the example of AEB scenarios and present appropriate matrix readiness comprising of relevant data objects excluding unnecessary junk data targeting aftermath. The methodology can be base for amalgam of various Indian specific scenarios layered as per traffic objects and functions which can be picked up based on prerequisites of the test criteria and model training

Notes:

Vendor supplied data

Publisher Number:

2026-26-0651

Access Restriction:

Restricted for use by site license