Perception and sensing for autonomous vehicles under adverse weather conditions: A survey
Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …
industry and offer new possibilities for future transportation with higher efficiency and …
Toward performing image classification and object detection with convolutional neural networks in autonomous driving systems: A survey
T Turay, T Vladimirova - IEEE Access, 2022 - ieeexplore.ieee.org
Nowadays Convolutional Neural Networks (CNNs) are being employed in a wide range of
industrial technologies for a variety of sectors, such as medical, automotive, aviation …
industrial technologies for a variety of sectors, such as medical, automotive, aviation …
3d common corruptions and data augmentation
We introduce a set of image transformations that can be used as corruptions to evaluate the
robustness of models as well as data augmentation mechanisms for training neural …
robustness of models as well as data augmentation mechanisms for training neural …
Benchmarking robustness in object detection: Autonomous driving when winter is coming
The ability to detect objects regardless of image distortions or weather conditions is crucial
for real-world applications of deep learning like autonomous driving. We here provide an …
for real-world applications of deep learning like autonomous driving. We here provide an …
Fusing event-based and rgb camera for robust object detection in adverse conditions
The ability to detect objects, under image corruptions and different weather conditions is vital
for deep learning models especially when applied to real-world applications such as …
for deep learning models especially when applied to real-world applications such as …
Generalizing state-of-the-art object detectors for autonomous vehicles in unseen environments
In scene understanding for autonomous vehicles (AVs), models trained on the available
datasets fail to generalize well to the complex, real-world scenarios with higher dynamics. In …
datasets fail to generalize well to the complex, real-world scenarios with higher dynamics. In …
Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions.
Vehicle detection and recognition in drone images is a complex problem that has been used
for different safety purposes. The main challenge of these images is captured at oblique …
for different safety purposes. The main challenge of these images is captured at oblique …
Robustness of object detectors in degrading weather conditions
State-of-the-art object detection systems for autonomous driving achieve promising results in
clear weather conditions. However, such autonomous safety critical systems also need to …
clear weather conditions. However, such autonomous safety critical systems also need to …
Muad: Multiple uncertainties for autonomous driving, a benchmark for multiple uncertainty types and tasks
Predictive uncertainty estimation is essential for safe deployment of Deep Neural Networks
in real-world autonomous systems. However, disentangling the different types and sources …
in real-world autonomous systems. However, disentangling the different types and sources …
Robust Object Detection in Challenging Weather Conditions
Object detection is crucial in diverse autonomous systems like surveillance, autonomous
driving, and driver assistance, ensuring safety by recognizing pedestrians, vehicles, traffic …
driving, and driver assistance, ensuring safety by recognizing pedestrians, vehicles, traffic …