Smart Vehicle Recognition System on Indian Roads Under Rainy Conditions

Title

Smart Vehicle Recognition System on Indian Roads Under Rainy Conditions

Creator

Arunkumar K.L.; Poornima K.M.; Danti A.; Manjunatha H.T.

Description

Recognition of vehicles under the different weather condition is very challenging. This work aims to recognize vehicles on Indian road in accordance with their visibility. It is important to recognize the surround roadside objects, particularly front and rare vehicles to avoid the accidents. Especially in raining conditions vehicle recognition is rate traffic surveillance cameras get decreases due to water droplets. Hence, we proposed a method for recognition of vehicles on road in rainy condition using image processing in computer vision techniques to improve the recognition rate. In the proposed method, an instance segmentation technique is used to segment the vehicles in Indian road scene and the visual noise and texture features are analysed and computed in the segmented images to recognize the vehicles more accurately in rainy conditions. By integrating the visual noise features with the texture feature and instance segmentation, the accuracy of vehicle recognition is improved. The experimental findings demonstrated that the suggested approach could more accurately predict the visibility of vehicles in rainy weather conditions. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Source

Lecture Notes in Electrical Engineering, Vol-1236 LNEE, pp. 421-430.

Date

2024-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

MAE (Mean absolute error); PixelLib; SD (standard deviation); Semantic segmentation

Coverage

Arunkumar K.L., Department of MCA, Jawaharlal Nehru New College of Engineering, Shimoga, India; Poornima K.M., Department of CSE, Jawaharlal Nehru New College of Engineering, Shimoga, India; Danti A., Department of AIML, Christ University, Bangalore, India; Manjunatha H.T., Department of MCA, Jawaharlal Nehru New College of Engineering, Shimoga, India

Rights

Restricted Access

Relation

ISSN: 18761100; ISBN: 978-981975865-4

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-97-5866-1_30

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209950971&doi=10.1007%2f978-981-97-5866-1_30&partnerID=40&md5=24d0b1229eedfbabd3c3feb849841609