For a leading global autonomous vehicle data provider
The client is a leading provider of best-in-class sensor fusion solutions for Advanced Driving Assistance Systems (ADAS), Autonomous Driving, and Active Safety development. The company focuses on producing high-quality datasets for AI using its proprietary MLOps toolset. This enables engineers and AI product teams to explore, shape, and explain datasets more effectively, accelerating AI product development, maximising performance, and reducing costs.
As a prominent player in the development of self-driving technologies, the client sought to annotate dynamic objects from Camera and LIDAR data to generate reliable and high-quality AI training data, thereby ensuring the performance of autonomous vehicle perception systems. Recognising the critical role of accurate Image, Video, and LiDAR annotation in enhancing object detection and navigation, the client was looking for a dedicated partner to provide precise annotation services to the autonomous driving industry.
Leveraging our annotation expertise, RMSI annotated dynamic objects, including vehicles, pedestrians, and animals, from the data provided during the project. Our annotation experts captured the annotated feature classes with attributes and provided high-quality output data to the client for training their AI datasets.
With autonomous vehicles on the rise globally, the client, along with RMSI experts, created high-quality labelled HD Map data. This data will help the client’s systems accurately anticipate various objects such as vehicle types, pedestrians, and animals for smooth mobility. Using these training datasets, autonomous vehicles are able to localise themselves within an environment and identify and track moving objects.
