A Self-learning Framework for Statistical Ground Classification using Radar and Monocular Vision-Reference-Cited by-同舟云学术

A Self-learning Framework for Statistical Ground Classification using Radar and Monocular Vision

Published:2014-04-03 Issue:1 Volume:32 Page:20-41
ISSN:1556-4959
Container-title:Journal of Field Robotics
language:en
Short-container-title:J. Field Robotics

Author:

Milella Annalisa¹,Reina Giulio²,Underwood James³

Affiliation:

1. Institute of Intelligent Systems for Automation; National Research Council; via Amendola 122/D-O 70126 Bari Italy

2. Department of Engineering for Innovation; University of Salento; via Arnesano 73100 Lecce Italy

3. Australian Centre for Field Robotics (ACFR); School of Aerospace; Mechanical and Mechatronic Engineering; The University of Sydney; NSW 2006 Australia

Funder

Ambient Awareness for Autonomous Agricultural Vehicles

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/rob.21512/fullpdf

Reference50 articles.

1. Vehicle and guard rail detection using radar and vision data fusion;Alessandretti;IEEE Transactions on Intelligent Transportation Systems,2007

2. Atreya , A. Cattle , B. Momen , S. Collins , B. Downey , A. Franken , G. Glass , J. Glass , Z. Herbach , J. Saxe , A. Ashwash , I. Baldassano , C. Hu , W. Javed , U. Mayer , J. Benjamin , D. Gorman , L. Yu , D. 2007 DARPA Urban Challenge Princeton University

3. Balkenius , C. Johansson , M. 2007 Finding colored objects in a scene

4. An investigation of the textural characteristics associated with gray level co-occurrence matrix statistical parameters;Baraldi;IEEE Transactions on Geoscience and Remote Sensing,1995

5. High-resolution millimeter-wave radar systems for visualization of unstructured outdoor environments;Brooker;Journal of Field Robotics,2006

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