获奖作品基本信息
年份 | 2018 |
学科 | 系统软件 SYSTEMS SOFTWARE |
学校 | The High School Affiliated to Renmin University of China |
国家/州 | China |
获奖作品名称
Seeing Clearly and Farther: Augmented Perception for Safe Driving in Adverse Weather and Reduced Visibility Conditions
获奖作品摘要
Adverse weather such as fog, rain, snow, and severe haze can greatly decrease visibility, making it difficult for drivers to perceive traffic information. Such reduced visibility increases the risk of road accidents, especially when driving on highways. This project aims to provide drivers with clearer and farther perception of road scenes in adverse weather and reduced visibility conditions. A novel four-step methodology was designed to achieve this goal: 1) A fast defogging algorithm was developed to process the visual information obtained from an in-car camera, generating clearer live images to enhance the visibility of road scene. It is much more efficient and has higher fidelity compared with other algorithms. 2) A method for detection and tracking of traffic participants was designed based on the fusion of sensor data. Compared with other methods, it significantly increases detection accuracy during reduced visibility conditions, and it has much better real time performance when running on embedded computing platforms. 3) The trajectory fitting of frontal vehicles was conducted to warn of curved lanes in the distance, and these lanes might not be seen due to adverse weather. 4) A mixed reality interface was designed to present augmented composite scenes, and multi-modal warnings were provided. Results demonstrate that this system robustly and reliably increases both accuracy and range of vision during reduced visibility conditions. Overall, this system assists drivers to see through blurred scenes and provides them with early warnings of potential dangers, greatly enhancing driving safety in adverse weather and reduced visibility conditions.
高中生科研 英特尔 Intel ISEF
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高中生科研竞赛 英特尔 Intel ISEF 简介
英特尔国际科学与工程大奖赛,简称 "ISEF",由美国 Society for Science and the Public(科学和公共服务协会)主办,英特尔公司冠名赞助,是全球规模最大、等级最高的科研科创赛事。ISEF 的竞赛学科包括了所有数学、自然科学、工程的全部领域和部分社会科学。ISEF 素有全球青少年科学竞赛的“世界杯”之美誉,旨在鼓励学生团队协作,开拓创新,长期专一深入地研究自己感兴趣的课题。
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学科简介:系统软件 SYSTEMS SOFTWARE
The study or development of software, information processes or methodologies to demonstrate, analyze, or control a process/solution.
Subcategories:
Algorithms (ALG): The study or creation of algorithms - step-by-step procedure of calculations to complete a specific task in data processing, automated reasoning and computing.
Cybersecurity (CYB): Studies involving the protection of a computer or computer system against unauthorized access or attacks. This can include studies involving hardware, network, software, host or multimedia security.
Databases (DAT): Studies that create or analyze data organization for ease of access, management and update.
Human/Machine Interface (HMC): Software application that presents information to a user about the state of a process and to accept and implement the operator’s control instructions.
Languages and Operating Systems (LNG): Studies that involve the development or analysis of artificial languages used to write instructions that can be translated into machine language and then executed by a computer or system software responsible for the direct control and management of hardware and basic system operations of a computer or mobile device.
Mobile Apps (APP): A study involving a software application developed specifically for use on small, wireless computing devices. These studies may include front-end development techniques, such as user interface design and cross-platform support, and/or back-end development techniques, such as data services and business logic.
Online Learning (LRN): Studies that focus on utilizing electronic technologies to access educational curriculum outside of a traditional means. Studies explore the design of learning activities and programs with online technologies, as well as the effective use of e-learning systems.
Other (OTH): Studies that cannot be assigned to one of the above subcategories. If the project involves multiple subcategories, the principal subcategory should be chosen instead of Other.