Computer vision for autonomous vehicles: Problems, datasets and state of the art
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 …
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 …
learning approaches for autonomous driving has long been studied, but mostly in the …
Long-range indoor navigation with PRM-RL
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 …
through cluttered environments along paths that span a variety of buildings. We achieve this …
Mapping for autonomous driving: Opportunities and challenges
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 …
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
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 …
address the novel problem of estimating an occlusion-reasoned semantic scene layout in …
Proximity based automatic data annotation for autonomous driving
The recent development in autonomous driving involves high-level computer vision and
detailed road scene understanding. Today, most autonomous vehicles employ expensive …
detailed road scene understanding. Today, most autonomous vehicles employ expensive …
A survey of scene understanding by event reasoning in autonomous driving
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 …
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 …
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
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 …
single camera as input. To achieve that, we first propose a novel parameterized model of …
Lightweight vehicle localization systems and methods
Abstract Systems and methods for autonomous vehicle localization are provided. In one
example embodiment, a computer-implemented method includes obtaining, by a computing …
example embodiment, a computer-implemented method includes obtaining, by a computing …