Perception and sensing for autonomous vehicles under adverse weather conditions: A survey

Y Zhang, A Carballo, H Yang, K Takeda - ISPRS Journal of …, 2023 - Elsevier
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 …

An overview of autonomous vehicles sensors and their vulnerability to weather conditions

J Vargas, S Alsweiss, O Toker, R Razdan, J Santos - Sensors, 2021 - mdpi.com
Autonomous vehicles (AVs) rely on various types of sensor technologies to perceive the
environment and to make logical decisions based on the gathered information similar to …

Benchmarking robustness of 3d object detection to common corruptions

Y Dong, C Kang, J Zhang, Z Zhu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract 3D object detection is an important task in autonomous driving to perceive the
surroundings. Despite the excellent performance, the existing 3D detectors lack the …

Deep learning for safe autonomous driving: Current challenges and future directions

K Muhammad, A Ullah, J Lloret… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …

Bioinspired in-sensor spectral adaptation for perceiving spectrally distinctive features

B Ouyang, J Wang, G Zeng, J Yan, Y Zhou, X Jiang… - Nature …, 2024 - nature.com
In challenging lighting conditions, machine vision often yields low-quality results. In
situations where particular spectral signatures carry critical information, adapting the …

Computing systems for autonomous driving: State of the art and challenges

L Liu, S Lu, R Zhong, B Wu, Y Yao… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration) and the broad deployment of communication …

[HTML][HTML] Implications of automated vehicles for physical road environment: A comprehensive review

O Tengilimoglu, O Carsten, Z Wadud - Transportation research part E …, 2023 - Elsevier
Automated vehicles (AVs) have received intense attention in academia and industry around
the world in recent years, but the imminent introduction of AVs brings new challenges and …

Fear of AI: an inquiry into the adoption of autonomous cars in spite of fear, and a theoretical framework for the study of artificial intelligence technology acceptance

F Cugurullo, RA Acheampong - AI & SOCIETY, 2024 - Springer
Artificial intelligence (AI) is becoming part of the everyday. During this transition, people's
intention to use AI technologies is still unclear and emotions such as fear are influencing it …

Towards deep radar perception for autonomous driving: Datasets, methods, and challenges

Y Zhou, L Liu, H Zhao, M López-Benítez, L Yu, Y Yue - Sensors, 2022 - mdpi.com
With recent developments, the performance of automotive radar has improved significantly.
The next generation of 4D radar can achieve imaging capability in the form of high …

Revitalizing convolutional network for image restoration

Y Cui, W Ren, X Cao, A Knoll - IEEE Transactions on Pattern …, 2024 - ieeexplore.ieee.org
Image restoration aims to reconstruct a high-quality image from its corrupted version, playing
essential roles in many scenarios. Recent years have witnessed a paradigm shift in image …