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TiAND Multimodal dataset for Indian Scenarios

Innovator Details

Innovator
Prof. P Rajalakshmi
Co-Developer / Co-Innovator
Dr. Venakt Maturi Dr. Shivangi Singh

About

Autonomous navigation technologies rely on the development of advanced AI and machine learning (AI/ML) algorithms, whose reliability is significantly enhanced by leveraging the complementary benefits of diverse sensor data. To cater to India-specific safety requirements, a unique dataset featuring object classes relevant to Indian scenarios has been developed. Covering an extensive distance of 2019 kilometers, the initiative amassed a substantial 3263.5 gigabytes of data. Additionally, a sensor-specific automated annotation pipeline tailored to Indian conditions was created, enabling more precise and efficient processing of this data for enhanced safety and performance in autonomous systems.
Funding Organization
Funding Organization
Department of Science and Technology (DST)
Quick Information
TRL: Technology Readiness Level
9
TIH Name
TiHAN Foundation, IIT Hyderabad
Status
ongoing
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