Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

• Published in: 2018 IEEE CVF Conference on Computer Vision and Pattern Recognition pp. 8601 - 8610
• Main Authors: Sattler, Torsten, Maddern, Will, Toft, Carl, Torii, Akihiko, Hammarstrand, Lars, Stenborg, Erik, Safari, Daniel, Okutomi, Masatoshi, Pollefeys, Marc, Sivic, Josef, Kahl, Fredrik, Pajdla, Tomas
• Format: Conference Proceeding Book Chapter
• Language: English
• Published: IEEE 01.06.2018
• Subjects: benchmark; Benchmark testing; camera pose estimation; Cameras; Computer and Information Science; Computer and Information Sciences; Computer graphics and computer vision; Computer Vision and Robotics (Autonomous Systems); Data- och informationsvetenskap (Datateknik); Datorgrafik och datorseende; Datorseende och robotik (autonoma system); long term localization; Natural Sciences; Naturvetenskap; Robots; Solid modeling; Three-dimensional displays; Trajectory; Visual localization; Visualization

Visual localization enables autonomous vehicles to navigate in their surroundings and augmented reality applications to link virtual to real worlds. Practical visual localization approaches need to be robust to a wide variety of viewing condition, including day-night changes, as well as weather and...