Tqu-slam benchmark feature-based dataset for building monocular vo

HIGHLIGHTS

• What: In this paper, a standard dataset named the TQU-SLAM benchmark dataset is proposed to evaluate VO estimation methods. This paper has the following main contributions: 
• Who: Pylarinos from the Tan Trao University, Tuyen Quang, Vietnam have published the article: TQU-SLAM Benchmark Feature-based Dataset for Building Monocular VO, in the Journal: (JOURNAL)
• How: This paper introduces the TQU-SLAM benchmark dataset which includes 160 631 RGB-D frame pairs with the goal to be used in Dell Learning (DL) training of Visual SLAM and Visual Odometry (VO) construction models. The . . .
  

   

  

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

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

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