Current autonomous driving systems predominantly focus on 3D object perception from the vehicle's perspective. However, the single-camera 3D object detection algorithm in the roadside monitoring scenario provides stereo perception of traffic objects, offering more accurate collection and anal...
This paper presents algorithms for vision-based detection, tracking and trajectory generation of vehicles in simple video sequences of traffic scenes which are registered by a stationary camera. Processing is done by three s...
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OTVision is a core module of theOpenTrafficCam frameworkto detect and track objects (road users) in videos recorded byOTCameraor other camera systems. On the resulting trajectories, one can perform traffic analysis usingOTAnalytics. Check out thedocumentationfor detailed instructions on how to insta...
NetCalib: A Novel Approach for LiDAR-Camera Auto-calibration Based on Deep Learning A fusion of LiDAR and cameras have been widely used in many robotics applications such as classification, segmentation, object detection, and autonomous dr... S Wu,A Hadachi,D Vivet,... 被引量: 0发表: 2021...
torchpack dist-run -np 1 python scripts/cooperative_multimodal_3d_detection.py configs/tumtraf_v2x/det/transfusion/secfpn/cooperative/camera+lidar/yolov8/pointpillars.yaml --checkpoint weights/bevfusion_coop_vi_cl_pointpillars512_2x_yolos.pth --split test --input_type hard_drive --save_detections...
Despite significant advances in object detection, detecting small objects in images captured by distant cameras remains challenging due to their size, distance from the camera, varied shapes, and cluttered backgrounds. To address these challenges, we propose Small Object Detection YOLOv8 (SOD-YOLOv8)...
Camera calibration and vehicle tracking We adopted the calibration method of Dubská et al. (2014), which gives the image coordinates of the vanishing points and scene scale information. We improved the method with more precise detection of the vanishing points, and we infer the scene scale by...
Multi-Camera Live Object Tracking This repository contains my object detection and tracking projects. All of these can be hosted on a cloud server. You can also use your own IP cameras with asynchronous processing thanks toImageZMQ. I've written a blog post on how to stream using your own ...
如果你的测试电脑上有多个camera(我的笔记本还有个默认的摄像头,yolo 默认device是0),可以利用-c <num>参数去选取, ./darknet detector demo cfg/voc.data cfg/yolov3.cfg trained.weights -c 1 此外,你还可以利用录制的视频去做检测,命令如下,