Autonomous Vehicles in 5G and beyond: A Survey

S Hakak, TR Gadekallu, PKR Maddikunta… - Vehicular …, 2023 - Elsevier
Fifth Generation (5G) mobile technology is the latest generation of mobile networks that is
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

E Yurtsever, J Lambert, A Carballo, K Takeda - IEEE access, 2020 - ieeexplore.ieee.org
Automated driving systems (ADSs) promise a safe, comfortable and efficient driving
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …

Rethinking efficient lane detection via curve modeling

Z Feng, S Guo, X Tan, K Xu… - Proceedings of the …, 2022 - openaccess.thecvf.com
This paper presents a novel parametric curve-based method for lane detection in RGB
images. Unlike state-of-the-art segmentation-based and point detection-based methods that …

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 …

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 …

Ultra fast structure-aware deep lane detection

Z Qin, H Wang, X Li - Computer Vision–ECCV 2020: 16th European …, 2020 - Springer
Modern methods mainly regard lane detection as a problem of pixel-wise segmentation,
which is struggling to address the problem of challenging scenarios and speed. Inspired by …

Self-driving cars: A survey

C Badue, R Guidolini, RV Carneiro, P Azevedo… - Expert systems with …, 2021 - Elsevier
We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …

[HTML][HTML] New innovations in pavement materials and engineering: A review on pavement engineering research 2021

JE Office, J Chen, H Dan, Y Ding, Y Gao, M Guo… - Journal of Traffic and …, 2021 - Elsevier
Sustainable and resilient pavement infrastructure is critical for current economic and
environmental challenges. In the past 10 years, the pavement infrastructure strongly …

Resa: Recurrent feature-shift aggregator for lane detection

T Zheng, H Fang, Y Zhang, W Tang, Z Yang… - Proceedings of the …, 2021 - ojs.aaai.org
Lane detection is one of the most important tasks in self-driving. Due to various complex
scenarios (eg, severe occlusion, ambiguous lanes, etc.) and the sparse supervisory signals …

Spatial as deep: Spatial cnn for traffic scene understanding

X Pan, J Shi, P Luo, X Wang, X Tang - Proceedings of the AAAI …, 2018 - ojs.aaai.org
Convolutional neural networks (CNNs) are usually built by stacking convolutional operations
layer-by-layer. Although CNN has shown strong capability to extract semantics from raw …