Autonomous Driving (AD) and Autonomous Driver Assistance Systems (ADAS) are at the forefront of automotive innovation. Worldwide, several OEMs, Tier-1 manufacturers, and startups are working toward realizing the full potential of next-generation autonomous mobility.
Autonomous vehicles operate on inputs from AI-based systems and algorithms. A key driver for the safe operation of driverless (autonomous) vehicles is their ability to accurately identify enroute objects while driving – underscoring the need for accurate labeling and deep algorithm training to facilitate effective outcomes.
LTTS has developed an AI-based, cloud-agnostic, end-to-end automatic data annotation tool, AnnotAI, which enables smart and intelligent data annotation. The platform supports multi-sensor data labeling with high accuracy and is cloud agnostic, making it capable of accelerating compute vision training for autonomous vehicles, robotics, and other applications.