Nektar Inc.
$250,000.00 CAD
- Department
- National Research Council Canada
- Recipient country
- Canada
- Fiscal year
- 2020-2021
- Agreement period
- May 1, 2020 – July 31, 2021
- Reference
- nrc-cnrc:172-2020-2021-Q1-952279
Published purpose
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.
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