7 citations · 10 across the 7 of their papers we have counts for
7 papers
Monocular Localization with Semantics Map for Autonomous Vehicles
Jixiang Wan, Xudong Zhang, Shuzhou Dong +7
Accurate and robust localization remains a significant challenge for autonomous vehicles. The cost of sensors and limitations in local computational efficiency make it difficult to…
Fusing Monocular Images and Sparse IMU Signals for Real-time Human Motion Capture
Shaohua Pan, Qi Ma, Xinyu Yi +5
Either RGB images or inertial signals have been used for the task of motion capture (mocap), but combining them together is a new and interesting topic. We believe that the combina…
SGL: Structure Guidance Learning for Camera Localization
Xudong Zhang, Shuang Gao, Xiaohu Nan +7
Camera localization is a classical computer vision task that serves various Artificial Intelligence and Robotics applications. With the rapid developments of Deep Neural Networks (…
A Real-Time Fusion Framework for Long-term Visual Localization
Yuchen Yang, Xudong Zhang, Shuang Gao +5
Visual localization is a fundamental task that regresses the 6 Degree Of Freedom (6DoF) poses with image features in order to serve the high precision localization requests in many…
Pose Refinement with Joint Optimization of Visual Points and Lines
Shuang Gao, Jixiang Wan, Yishan Ping +6
High-precision camera re-localization technology in a pre-established 3D environment map is the basis for many tasks, such as Augmented Reality, Robotics and Autonomous Driving. Th…
Retrieval and Localization with Observation Constraints
Yuhao Zhou, Huanhuan Fan, Shuang Gao +4
Accurate visual re-localization is very critical to many artificial intelligence applications, such as augmented reality, virtual reality, robotics and autonomous driving. To accom…
Visual Localization Using Semantic Segmentation and Depth Prediction
Huanhuan Fan, Yuhao Zhou, Ang Li +3
In this paper, we propose a monocular visual localization pipeline leveraging semantic and depth cues. We apply semantic consistency evaluation to rank the image retrieval results…