In the field of AI autonomous driving, accurate environment perception and positioning are the keys to reliable navigation, information decision-making, and safe driving in complex dynamic environments. The two tasks require the acquisition and processing of highly accurate and informative data in real environments. …

From 2D cameras to 3D Lidar modeling, from passenger cars to trucks, AI scenarios of autonomous driving are being implemented at a high speed. With the aid of high-quality labeled data, which are identifiable by ML, can assist driving technology, better perceive the actual road, vehicle location, and obstacle information…

In the previous article, we are talking about a data annotation project for unmanned logistics vehicles. 2D Object Detection Labeling Case Study in the Self-Driving Industry Now we continue to see how 2D object detection labeling is done with more project instruction. 5. Labeling Target (1) Immovable categories only need to be labeled…

LiDAR Annotation — 3D point cloud labeling is used for training AI models such as CV and unmanned driving. At present, there are two mainstream 3D point cloud labeling methods. Point Cloud Annotation(Continuous Frame): 3D point cloud continuous frame annotation is the most widely used in autonomous driving scenarios and requires high three-dimensional…

Would you like to see the interesting transport of “an unmanned delivery vehicle delivering packages to you”, or prefer to try “an unmanned car taking you home”? It will take a long time for unmanned vehicles to be implemented in a high-speed and complex environment. For large-scale unmanned trucks driving…

“Run a Red Light” A self-driving company conducted an unmanned vehicle test. During the test, the unmanned vehicle accurately recognized the red light, but the system ignored the message, and the vehicle continued to drive through the intersection. No measures were taken, and fortunately, no casualties were caused. …

Image classification and labeling projects are common in the e-commerce industry. The main disadvantage of online shopping is that consumers cannot directly “feel” the products, and images are the primary source of product perception, especially regarding clothing combinations and accessories. …

Keypoint Annotation Keypoint labeling, including those of face, human body, and objects of specific types, is often used to train face recognition models and statistical models. The face annotation with keypoints is to accurately locate the facial features by measuring the distance between the eyes, the shape of the chin, the distance…

Two “Pillars” The first one is the unmanned sanitation vehicle, a representative scene of smart life. Woxiaobai, a self-driving sweeper launched by Idriverplus, has been installed by thousands, which can engage in road cleaning, watering, garbage collection, and other work in more than 20 provinces. In addition, Idriverplus has also deployed unmanned…