Surround-view fisheye camera perception for automated driving: Overview, survey & challenges
Surround-view fisheye cameras are commonly used for near-field sensing in automated
driving. Four fisheye cameras on four sides of the vehicle are sufficient to cover 360° around …
driving. Four fisheye cameras on four sides of the vehicle are sufficient to cover 360° around …
Woodscape: A multi-task, multi-camera fisheye dataset for autonomous driving
Fisheye cameras are commonly employed for obtaining a large field of view in surveillance,
augmented reality and in particular automotive applications. In spite of their prevalence …
augmented reality and in particular automotive applications. In spite of their prevalence …
[HTML][HTML] A hybrid deep convolutional neural network for accurate land cover classification
Land cover classification provides updated information regarding the Earth's resources,
which is vital for agricultural investigation, urban management, and disaster monitoring …
which is vital for agricultural investigation, urban management, and disaster monitoring …
Syndistnet: Self-supervised monocular fisheye camera distance estimation synergized with semantic segmentation for autonomous driving
State-of-the-art self-supervised learning approaches for monocular depth estimation usually
suffer from scale ambiguity. They do not generalize well when applied on distance …
suffer from scale ambiguity. They do not generalize well when applied on distance …
MobTCast: Leveraging auxiliary trajectory forecasting for human mobility prediction
Human mobility prediction is a core functionality in many location-based services and
applications. However, due to the sparsity of mobility data, it is not an easy task to predict …
applications. However, due to the sparsity of mobility data, it is not an easy task to predict …
Multinet++: Multi-stream feature aggregation and geometric loss strategy for multi-task learning
Multi-task learning is commonly used in autonomous driving for solving various visual
perception tasks. It offers significant benefits in terms of both performance and computational …
perception tasks. It offers significant benefits in terms of both performance and computational …
Near-field perception for low-speed vehicle automation using surround-view fisheye cameras
Cameras are the primary sensor in automated driving systems. They provide high
information density and are optimal for detecting road infrastructure cues laid out for human …
information density and are optimal for detecting road infrastructure cues laid out for human …
Unrectdepthnet: Self-supervised monocular depth estimation using a generic framework for handling common camera distortion models
VR Kumar, S Yogamani, M Bach, C Witt… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
In classical computer vision, rectification is an integral part of multi-view depth estimation. It
typically includes epipolar rectification and lens distortion correction. This process simplifies …
typically includes epipolar rectification and lens distortion correction. This process simplifies …
Blazeneo: Blazing fast polyp segmentation and neoplasm detection
In recent years, computer-aided automatic polyp segmentation and neoplasm detection
have been an emerging topic in medical image analysis, providing valuable support to …
have been an emerging topic in medical image analysis, providing valuable support to …
Dynamic task weighting methods for multi-task networks in autonomous driving systems
Deep multi-task networks are of particular interest for autonomous driving systems. They can
potentially strike an excellent trade-off between predictive performance, hardware …
potentially strike an excellent trade-off between predictive performance, hardware …