Automatic Detection and Classification of Road, Car, and Pedestrian Using Binocular Cameras in Traffic Scenes with a Common Framework
In order to solve the problems of traffic object detection, fuzzification, and simplification in real traffic environment, an automatic detection and classification algorithm for roads, vehicles, and pedestrians with multiple traffic objects under the same framework is proposed. We construct the fin...
Saved in:
Main Authors: | Yongchao Song, Jieru Yao, Yongfeng Ju, Yahong Jiang, Kai Du |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/2435793 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
RETRACTED: Road traffic incidents involving pedestrians in areas with limited visibility
by: Turdibekov Saloxiddin, et al.
Published: (2024-01-01) -
Mosaic-Mixed Attention-Based Unexpected Traffic Scene Classification
by: Sang-Hyun Lee, et al.
Published: (2025-01-01) -
An improved YOLOv4 algorithm for pedestrian detection in complex visual scenes
by: Shuai KANG, et al.
Published: (2021-08-01) -
4D Radar Imaging and Camera Fusion for Road Crossing Detection and Classification Using Deep Learning
by: Liyaana Shahirah Wan Abd Aziz, et al.
Published: (2025-01-01) -
Development of Binocular Vision
by: Muhammad Syauqie, et al.
Published: (2014-01-01)