本次介绍的是题目为《Vision-based vehicle detection and counting system using deep learning in highway scenes》的一篇目标检测相关文章,2019年发表在European Transport Research Review上面。 2、 摘要 在公路管理领域,车辆的智能检测和计数越来越重要。然而,由于车辆的大小、尺寸、类型等的不同,基于视觉的车辆检测...
题目:Vehicle Detection With Automotive Radar Using Deep Learning on Range-Azimuth-Doppler Tensors 作者:Major, Bence;Fontijne, Daniel;Ansari, Amin;Sukhavasi, Ravi Teja;Gowaikar, Radhika;Hamilton, Michael;Lee, Sean;Grzechnik, Slawomir;Subramanian, Sundar 年份:2019 会议:International Conference on ...
The intelligent car control using vision-based vehicle detection is designed and implemented using CNN. In the first stage, the learning algorithm and image data set are used for the design of CNN based vehicle identification system. The used CNN architecture is shown in Fig. 1. 15000 car imag...
CONCEPT learningDeep learning-based classification and detection algorithms have emerged as a powerful tool for vehicle detection in intelligent transportation systems. The limitations of the number of high-quality labeled training samples makes the single vehicle detection methods incapable ...
Vehicle DetectionConvolutional Neural NetworkIntelligent Transportation SystemsObject DetectionDeep LearningVehicle detection plays an important role in autonomous driving systems. Recently, vehicle detection methods achieved large successes with the fast development of deep convolutional neural network (CNN). Howev...
[论文阅读] DAY 1 Vehicle Detection With Automotive Radar Using Deep Learning on Range-Azimuth-Doppler,程序员大本营,技术文章内容聚合第一站。
Deep Learning-Based Intrusion Detection Systems: A Systematic Review 2021, IEEE Access View all citing articles on ScopusJiayan Zhang received the B.S. degree in Network Engineering from Nanchang Institute of Technology, Nanchang, Jiangxi, China, in 2018. He is currently working toward the M.S....
Deep learning is a powerful machine learning technique that you can use to train robust object detectors. Several deep learning techniques for object detection exist, including Faster R-CNN and you only look once (YOLO) v2. This example trains a Faster R-CNN vehicle detector using thetrainFast...
Compared with the existing public datasets, the proposed dataset contains annotated tiny objects in the image, which provides the complete data foundation for vehicle detection based on deep learning. In the proposed vehicle detection and counting system, the highway road surface in the image is ...
车辆行为预测Deep_Learning-Based_Vehicle_Behavior_Prediction_for_Autonomous_Driving_Applications_A_Review.pdf,IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 23, NO. 1, JANUARY 2022 33 Deep Learning-Based Vehicle Behavior Prediction for Auto