Solving monocular visual odometry scale factor with adaptive step length estimates for pedestrians using handheld devices

HIGHLIGHTS

• who: Nicolas Antigny and collaborators from the Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR) Institut de Recherche en Sciences et Techniques de la Ville (IRSTV), Nantes, France Laboratory for Image and Media Understanding (LIMU), Kyushu University, Fukuoka, Japan have published the article: Solving Monocular Visual Odometry Scale Factor with Adaptive Step Length Estimates for Pedestrians Using Handheld Devices, in the Journal: Sensors 2019, 19, 953 of /2019/
• what: To address these challenges the authors propose a continuous pose estimation based on monocular Visual Odometry . . .
  

   

  

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