Grants and Contributions:

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Title:

Utilizing Deep Learning for Fully Automated Feature Extraction from Mobile LiDAR Scans of Highways

Agreement Number:

952279

Agreement Value:

$250,000.00

Agreement Date:

May 1, 2020 - Jul 31, 2021

Description:

The proposed work aims to advance Nektar’s LiDAR processing capabilities by developing Deep Neural Networks for fully automated point cloud processing. Over the past 2 years, Nektar has invested heavily in mobile laser scanning equipment while also developing multiple state-of-the-art handcrafted algorithms for efficient processing of LiDAR datasets for transportation infrastructure projects. As the LiDAR market grows, Nektar is challenged with improving the efficiency of its processing to handle 100s of million points and Gigabytes/Terabytes of data. Nektar aims to employ Artificial Intelligence to develop models for automated simultaneous detection of multiple objects within the volumetric, exhaustive, and unorganized point clouds.

Organization:

National Research Council Canada

Expected Results:

The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization

Location:

Edmonton, Alberta, CA T6V 0K8

Reference Number:

172-2020-2021-Q1-952279

Agreement Type:

Contribution

Report Type:

Grants and Contributions

Recipient Business Number:

816226831

Recipient Type:

For-profit organization

Recipient's Legal Name:

Nektar Inc.

Federal Riding Name:

St. Albert--Edmonton

Federal Riding Number:

48031

Program:

Industrial Research Assistance Program – Contributions to Firms

Program Purpose:

Coverage:

IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation.

NAICS Code:

511211