Abstract
Range estimation technology, which plays a decisive role on the properties of the laser radar system, is always the core technology of laser radar technology. A range estimation technology based on Artificial Neural Network which contains two layers of network was proposed. The contrast experiment with the Cross-correlation range estimation technology demonstrates this technology can provide more accurate range estimation result. A simulation experiment on intensity image was conducted, and experiment result show this technology can provide more accurate intensity data than the peak judgment technology. The correlation between the neuron amount of hidden layer and range estimation accuracy was also analyzed, and the result shows too many or too few neurons will decrease the range estimation accuracy.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
