Autonomous Driving
Autonomous vehicle technology has made a breakthrough in the past decade, with the development of 3D point clouds, human detection, vehicle detection, intelligent cockpit, and other technologies. The autonomous vehicle has been increasingly practical, becoming a typical application scenario of AI technology commercialization.
We can provide cost-effective and highly accurate training and validation data to improve your autonomous vehicle models. We can offer a wild range of data types covering different languages and demands.
Cases for Autonomous Driving
3D Point Cloud
3D object detection provides more scene information required by environment perception than ordinary 2D detection. 3D
object detection can be carried out by monocular camera, binocular camera and LiDAR
Vehicle Detection
Bounding box, polygons and vehicle attributes
Lane Line Detection
Lane line track annotation, lane line segmentation area annotation, attribute annotation. Lane line fitting annotation, select the key points of the travel path, and the annotation tool automatically generates the
fitting curve
Semantic Segmentation
Tracking id
Annotate ID of vehicles/pedestrains appearing in different scenes, correspond the ID of the same vehicle/pedestrian appearing in different scenes
Traffic Sign Recognition
Traffic lights and street signals detection: Bounding box and attribution annotation
Drivable Area Annotation
The detection of drivable area is mainly to provide path planning assistance for automatic driving, which can detect the whole road surface, or extract part of the road information, which can be combined with
high-precision map to realize road path planning and obstacle avoidance.
One-stop AI Data Solutions Platform
Data Security
Service
Front and rear end service with good scalability, service equipment ensures 7*24 hours service.
Superior Performance
Speed
Scale
