Visualization and Visual Analytics in Autonomous Driving.

IF 1.7 4区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

IEEE Computer Graphics and Applications Pub Date : 2024-05-01 Epub Date: 2024-06-21 DOI:10.1109/MCG.2024.3381450

Sudhir K Routray

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引用次数: 0

Abstract

Autonomous driving is no longer a topic of science fiction. Advancements of autonomous driving technologies are now reliable. Effectively harnessing the information is essential for enhancing the safety, reliability, and efficiency of autonomous vehicles. In this article, we explore the pivotal role of visualization and visual analytics (VA) techniques used in autonomous driving. By employing sophisticated data visualization methods, VA, researchers, and practitioners transform intricate datasets into intuitive visual representations, providing valuable insights for decision-making processes. This article delves into various visualization approaches, including spatial-temporal mapping, interactive dashboards, and machine learning-driven analytics, tailored specifically for autonomous driving scenarios. Furthermore, it investigates the integration of real-time sensor data, sensor coordination with VA, and machine learning algorithms to create comprehensive visualizations. This research advocates for the pivotal role of visualization and VA in shaping the future of autonomous driving systems, fostering innovation, and ensuring the safe integration of self-driving vehicles.

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自动驾驶中的可视化和可视分析。

自动驾驶不再是科幻小说的主题。现在，自动驾驶技术的进步已变得可靠。有效利用信息对于提高自动驾驶汽车的安全性、可靠性和效率至关重要。在本文中，我们将探讨可视化和可视分析（VA）技术在自动驾驶中的关键作用。通过采用复杂的数据可视化方法（VA），研究人员和从业人员将错综复杂的数据集转化为直观的可视化表示，为决策过程提供有价值的见解。本文深入探讨了各种可视化方法，包括专为自动驾驶场景定制的时空映射、交互式仪表盘和机器学习驱动分析。此外，它还研究了实时传感器数据的整合、传感器与虚拟机构的协调以及机器学习算法，以创建全面的可视化。这项研究主张可视化和虚拟现实在塑造自动驾驶系统的未来、促进创新和确保自动驾驶汽车的安全集成方面发挥关键作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Computer Graphics and Applications 工程技术-计算机：软件工程

CiteScore

3.20

自引率

5.60%

发文量

160

审稿时长

>12 weeks

期刊介绍： IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics, visualization, virtual and augmented reality, and HCI. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments. Theme issues guest edited by leading researchers in their fields track the latest developments and trends in computer-generated graphical content, while tutorials and surveys provide a broad overview of interesting and timely topics. Regular departments further explore the core areas of graphics as well as extend into topics such as usability, education, history, and opinion. Each issue, the story of our cover focuses on creative applications of the technology by an artist or designer. Published six times a year, CG&A is indispensable reading for people working at the leading edge of computer-generated graphics technology and its applications in everything from business to the arts.