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Surround-view Fisheye Camera Perception for Automated Driving: Overview, Survey and Challenges
Surround-view fisheye cameras are commonly used for near-field sensing in automated driving.
UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal
Shadows are frequently encountered natural phenomena that significantly hinder the performance of computer vision perception systems in practical settings, e. g., autonomous driving.
2.5D Vehicle Odometry Estimation
We show, by experimental results with a DGPS/IMU reference, that this model provides highly accurate odometry estimates, compared with existing methods.
An Online Learning System for Wireless Charging Alignment using Surround-view Fisheye Cameras
In this work, we propose a system based on the surround-view camera architecture to detect, localize, and automatically align the vehicle with the inductive chargepad.
Spherical formulation of geometric motion segmentation constraints in fisheye cameras
We introduce a visual motion segmentation method employing spherical geometry for fisheye cameras and automoated driving.
Near-field Perception for Low-Speed Vehicle Automation using Surround-view Fisheye Cameras
In this work, we provide a detailed survey of such vision systems, setting up the survey in the context of an architecture that can be decomposed into four modular components namely Recognition, Reconstruction, Relocalization, and Reorganization.
Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline
It is the first detailed study on object detection on fisheye cameras for autonomous driving scenarios to the best of our knowledge.
