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Japan Autonomous Driving Multi-Sensor Annotated Dataset
Autonomous Driving
Multi-Sensor
LiDAR
Point Cloud
Multi-view Images
Traffic Sign
3D Object Detection
Tracking
4D Lane Annotation
HD Map
Japan Road Dataset
This product is a high-precision annotated multi-sensor autonomous driving dataset collected from real vehicles in Japan. The product data can be used for perception model training, object tracking, lane recognition, map construction, algorithm verification, and other scenarios.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Objective
To build a multi-sensor annotated dataset in Japan for R&D scenarios related to autonomous driving, ADAS, environmental perception, object tracking, and high-definition (HD) maps.
Data collection equipment
Collected via a real vehicle platform in Japanese road environments, with sensors including LiDAR, RGB cameras, RTK/GNSS, IMU, and CAN bus (wheel speed).
Collection scenarios
Urban roads and their adjacent coastal road scenes in Japan, primarily under real daytime traffic conditions and mainly on sunny days.
Collection content
LiDAR point clouds, 6-view synchronized RGB images, RTK/GNSS, IMU, and vehicle speed information.
Annotation content
2D traffic sign annotation, 3D object tracking annotation, and 4D lane line annotation.
Application scenarios
Can be used for perception model training, object tracking, lane recognition, map construction, algorithm verification, and other scenarios.