Curb Detection Using a Novel Deep Learning Framework Based on YOLO ‐v2
Author:
Affiliation:
1. Graduate School of Engineering Science Akita University Akita Japan 010‐8502
2. Faculty of Science and Engineering Iwate University Morioka Japan 020‐8551
Publisher
Wiley
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.23647
Reference23 articles.
1. Recent progress in road and lane detection: a survey
2. A Lidar-Based Decision-Making Method for Road Boundary Detection Using Multiple Kalman Filters
3. ZhangY WangJ WangX LiC WangL.A real‐time curb detection and tracking method for ugvs by using a 3d‐lidar sensor.2015 IEEE Conference on Control Applications (CCA) 2015; 1020–1025 IEEE.
4. Road-Segmentation-Based Curb Detection Method for Self-Driving via a 3D-LiDAR Sensor
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Road Curb Detection Based on a Deep Learning Framework;2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC);2023-03-08
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