A Clustering and Image Processing Approach to Unsupervised Real-Time Road Segmentation for Autonomous Vehicles
Author:
Affiliation:
1. Carnegie Mellon University,Department of Electrical and Computer Engineering,Pittsburgh,USA
2. BITS Pilani,Department of Electrical and Electronics Engineering and APPCAIR,Pilani Campus,India
Funder
Indian Institute of Science
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10008390/10008474/10008782.pdf?arnumber=10008782
Reference27 articles.
1. A performance study of image segmentation techniques
2. Test Your Self-Driving Algorithm: An Overview of Publicly Available Driving Datasets and Virtual Testing Environments
3. Lane Determination of Vehicles Based on a Novel Clustering Algorithm for Intelligent Traffic Monitoring
4. Road extraction using K-Means clustering and morphological operations
5. Corroborative Evaluation of the Real-World Energy Saving Potentials of InfoRich Eco-Autonomous Driving (iREAD) System
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