Increasing SLAM Pose Accuracy by Ground-to-Satellite Image Registration
Author:
Affiliation:
1. University of Technology Sydney,Robotics Institute,Sydney,Australia
2. ShanghaiTech University,Shanghai,China
3. Australian National University,College of Engineering and Computer Science,Canberra,Australia
4. Ford Motor Company,Dearborn,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611079.pdf?arnumber=10611079
Reference40 articles.
1. G-VIDO: A Vehicle Dynamics and Intermittent GNSS-Aided Visual-Inertial State Estimator for Autonomous Driving
2. Localization Requirements for Autonomous Vehicles
3. Visual localization within LIDAR maps for automated urban driving
4. Direct Visual Localisation and Calibration for Road Vehicles in Changing City Environments
5. Efficient Global 2D-3D Matching for Camera Localization in a Large-Scale 3D Map
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