AnnotAI
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 to fully realize the potential of next-generation autonomous mobility.
Autonomous vehicles operate and maneuver based on inputs from AI-based systems and algorithms. However, one of the key drivers of safe operation for a driverless (autonomous) vehicle is the ability to accurately identify an object while driving – underscoring the need for accurate labeling and a deep algorithm training that facilitates the scenario.
LTTS has developed an AI-based, end-to-end automatic data annotation tool that enables smart and intelligent data annotation. The platform supports multi-sensor data labeling with high accuracy and is cloud agnostic, making it truly versatile and capable of accelerating compute vision training for autonomous vehicles, robotics, and other applications.
Use Cases
Highway Pilot
Intelligent Speed Adoption
Automatic Emergency Brake
Traffic Sign Recognition
Fully Automated Parking Assistance
Driver Monitoring System
Lane Keep Assist
Blind Spot Detection
AnnotAI
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.