LIDAR & 3D Point Cloud Annotation for a Leading Autonomous Vehicle Company

iMerit Ango Hub Multimodal AI Platform

LIDAR & 3D Point Cloud Annotation for a Leading Autonomous Vehicle Company

MAIN NAVIGATION AND SUPPORT

A leading Autonomous Vehicle company sought to enhance its self-driving technology by providing highly-precise and reliable 3D perception. The solution leverages LiDAR (Light Detection and Ranging) data from multiple sensors, including navigation systems, vision modules, LiDAR, and radar, to accurately interpret information across different platforms. This integration helps the company deploy a robust 3D perception stack that supports tasks like target identification, lane marking, road boundaries, and traffic lights in autonomous driving scenarios.

PRODUCTS AND DATA SUPPORT

The company's need for precise LiDAR data led them to iMerit Ango Hub, a partner specializing in advanced autonomous vehicle solutions. iMerit provided extensive support with detailed guidance on 2D image and 3D point cloud annotation techniques. This partnership ensured accurate labeling of LiDAR scenes for cars, boundaries, and other targets, improving the system's reliability and performance.

SOLUTIONS AND ENHANCEMENT

Working with iMerit Ango Hub, the company refined their annotation guidelines, ensuring annotations were accurate and reliable. The modular approach of combining LiDAR data fusion with 3D HD maps allowed for efficient reconstruction of environmental representations. This solution significantly enhanced the system's ability to perform tasks like lane mapping and traffic monitoring in autonomous environments.

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