Computer vision for autonomous vehicles: Problems, datasets and state of the art

J Janai, F Güney, A Behl, A Geiger - Foundations and Trends® …, 2020 - nowpublishers.com
Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …

A survey of end-to-end driving: Architectures and training methods

A Tampuu, T Matiisen, M Semikin… - … on Neural Networks …, 2020 - ieeexplore.ieee.org
Autonomous driving is of great interest to industry and academia alike. The use of machine
learning approaches for autonomous driving has long been studied, but mostly in the …

Long-range indoor navigation with PRM-RL

A Francis, A Faust, HTL Chiang, J Hsu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Long-range indoor navigation requires guiding robots with noisy sensors and controls
through cluttered environments along paths that span a variety of buildings. We achieve this …

Mapping for autonomous driving: Opportunities and challenges

K Wong, Y Gu, S Kamijo - IEEE Intelligent Transportation …, 2020 - ieeexplore.ieee.org
This article provides a review of the production and uses of maps for autonomous driving
and a synthesis of the opportunities and challenges. For many years, maps have helped …

Learning to look around objects for top-view representations of outdoor scenes

S Schulter, M Zhai, N Jacobs… - Proceedings of the …, 2018 - openaccess.thecvf.com
Given a single RGB image of a complex outdoor road scene in the perspective view, we
address the novel problem of estimating an occlusion-reasoned semantic scene layout in …

Proximity based automatic data annotation for autonomous driving

C Sun, JMU Vianney, Y Li, L Chen, L Li… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
The recent development in autonomous driving involves high-level computer vision and
detailed road scene understanding. Today, most autonomous vehicles employ expensive …

A survey of scene understanding by event reasoning in autonomous driving

JR Xue, JW Fang, P Zhang - International Journal of Automation and …, 2018 - Springer
Realizing autonomy is a hot research topic for automatic vehicles in recent years. For a long
time, most of the efforts to this goal concentrate on understanding the scenes surrounding …

[PDF][PDF] 深度神经网络的关键技术及其在自动驾驶领域的应用

李升波, 关阳, 侯廉, 高洪波… - 汽车安全与 …, 2019 - idlabweb.oss-cn-beijing.aliyuncs …
智能化是汽车的三大变革技术之一, 深度学习具有拟合能力优, 表征能力强和适用范围广的特点,
是进一步提升汽车智能性的重要途径. 该文系统性总结了用于自动驾驶汽车的深度神经网络 …

A parametric top-view representation of complex road scenes

Z Wang, B Liu, S Schulter… - Proceedings of the …, 2019 - openaccess.thecvf.com
In this paper, we address the problem of inferring the layout of complex road scenes given a
single camera as input. To achieve that, we first propose a novel parameterized model of …

Lightweight vehicle localization systems and methods

WC Ma, S Wang, N Homayounfar… - US Patent …, 2020 - Google Patents
Abstract Systems and methods for autonomous vehicle localization are provided. In one
example embodiment, a computer-implemented method includes obtaining, by a computing …