On Depth Error from Spherical Camera Calibration within Omnidirectional Stereo Vision
M Groom, TP Breckon - 2022 26th International Conference on …, 2022 - ieeexplore.ieee.org
As a depth sensing approach, whilst stereo vision provides a good compromise between
accuracy and cost, a key limitation is the limited field of view of the conventional cameras …
accuracy and cost, a key limitation is the limited field of view of the conventional cameras …
Multi-task learning for automotive foggy scene understanding via domain adaptation to an illumination-invariant representation
Joint scene understanding and segmentation for automotive applications is a challenging
problem in two key aspects:-(1) classifying every pixel in the entire scene and (2) performing …
problem in two key aspects:-(1) classifying every pixel in the entire scene and (2) performing …
Multi-modal learning for real-time automotive semantic foggy scene understanding via domain adaptation
N Alshammari, S Akcay… - 2021 IEEE Intelligent …, 2021 - ieeexplore.ieee.org
Robust semantic scene segmentation for automotive applications is a challenging problem
in two key aspects:(1) labelling every individual scene pixel and (2) performing this task …
in two key aspects:(1) labelling every individual scene pixel and (2) performing this task …
Broadening Deep Learning horizons: models for RGB and Depth images adaptation
P Russo - 2020 - iris.uniroma1.it
Deep Learning has revolutionized the whole field of Computer Vision. Very deep models
with an huge number of parameters have been successfully applied on big image datasets …
with an huge number of parameters have been successfully applied on big image datasets …