Sensors, Vol. 19, Pages 4021: Improved Traffic Sign Detection and Recognition Algorithm for Intelligent Vehicles
Sensors, Vol. 19, Pages 4021: Improved Traffic Sign Detection and Recognition Algorithm for Intelligent Vehicles Sensors doi: 10.3390/s19184021 Authors: Jingwei Cao Chuanxue Song Silun Peng Feng Xiao Shixin Song Traffic sign detection and recognition are crucial in the development of intelligent vehicles. An improved traffic sign detection and recognition algorithm for intelligent vehicles is proposed to address problems such as how easily affected traditional traffic sign detection is by the environment, and poor real-time performance of deep learning-based methodologies for traffic sign recognition. Firstly, the HSV color space is used for spatial threshold segmentation, and traffic signs are effectively detected based on the shape features. Secondly, the model is considerably improved on the basis of the classical LeNet-5 convolutional neural network model by using Gabor kernel as the initial convolutional kernel, adding the batch normalization processing after the pooling layer and selecting Adam method as the optimizer algorithm. Finally, the traffic sign classification and recognition experiments are conducted based on the German Traffic Sign Recognition Benchmark. The favorable prediction and accurate recognition of traffic signs are achieved through the continuous training and testing of the network model. Experimental results show that the accurate recognition rate of traffic signs reaches 99.75%, and the average processing time per frame is 5.4 ms. C...
Authors: Hanewinkel R PMID: 31623003 [PubMed - in process]
Zum Kommentar von Prof. Reiner Hanewinkel zum Hot Topic-Thema „Raucherentwöhnung: E-Zigarette besser als klassische Nikotinersatzpräparate?“ Pneumologie 2019; 73: 336 – 337. Pneumologie. 2019 Oct;73(10):622 Authors: Pommer P PMID: 31623002 [PubMed - in process]
Authors: Schulz H, Karrasch S, Bölke G, Cyrys J, Hornberg C, Pickford R, Schneider A, Witt C, Hoffmann B PMID: 31623001 [PubMed - in process]
Leserbrief zu Schulz H, Karrasch S, Bölke G et al. Atmen: Luftschadstoffe und Gesundheit – Teil I. Pneumologie 2019; 73: 288 – 305. Pneumologie. 2019 Oct;73(10):617-619 Authors: Schnitzler A PMID: 31623000 [PubMed - in process]
Authors: Schöll N, Rohde GGU Abstract Pneumonia belongs to the most frequent and most deadly infectious diseases worldwide. It represents an increasing problem for the aging population. The incidence and mortality rises with every decade. The clinical presentation of pneumonia differs between elderly and younger patients. Multiple factors including functional status (self-dependency and immobilization), comorbidities, immunosenescence, nutritional status, swallowing disorders have to be accounted for. Pneumonia in the elderly has to be differentiated from nursing home acquired pneumonia. Diagnosis of pneumonia...
Perikardpunktion – Schritt für Schritt. Pneumologie. 2019 Oct;73(10):597-604 Authors: Ferrari MW PMID: 31622998 [PubMed - in process]
Authors: Raspe M, Rolling T, Leisse C, Fischer J, Lehmann C Abstract Infectious Diseases are a cross-sectional area connected to various medical disciplines and offer interested physicians multiple working opportunities. The spectrum of infectious diseases covers both out- and inpatient care as well as basic, clinical and epidemiological research. The need for infectious diseases specialists is increasing, thus career prospects are promising. Working conditions in infectious diseases are comparatively family-friendly. With this article we intend to arouse interest for working in the fascinating fields of infectious...
Authors: Bahmer T, Wälscher J, Fisser C, Kreuter M, Karg O, Böing S, Koczulla R, Raspe M PMID: 31622996 [PubMed - in process]
Lungengesundheit: Beruf als großer Risikofaktor? Pneumologie. 2019 Sep;73(9):e2 Authors: Simon A PMID: 31622984 [PubMed - in process]
20 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: Am J Trop Med Hyg These pubmed results were generated on 2019/10/19PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.