Indoor passive visual positioning by cnn-based pedestrian detection

HIGHLIGHTS

  • who: Dewen Wu and colleagues from the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China have published the Article: Indoor Passive Visual Positioning by CNN-Based Pedestrian Detection, in the Journal: Micromachines 2022, 1413 of /2022/
  • what: To address these concerns the authors propose a solution for passive visual positioning based on and projection transformation. Most of the work on indoor localization focuses on the provision of a widely applicable scheme for indoor localization such as GPS. The authors demonstrate passive visual localization based on pedestrian . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?