2018英特爾ISEF學(xué)科最佳作品摘要：系統(tǒng)軟件 Best of Category Abstract: SYSTEMS SOFTWARE

獲獎(jiǎng)作品基本信息

年份	2018
學(xué)科	系統(tǒng)軟件 SYSTEMS SOFTWARE
學(xué)校	The High School Affiliated to Renmin University of China
國(guó)家/州	China

獲獎(jiǎng)作品名稱

Seeing Clearly and Farther: Augmented Perception for Safe Driving in Adverse Weather and Reduced Visibility Conditions

獲獎(jiǎng)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.

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高中生科研學(xué)術(shù)活動(dòng) 英特爾 Intel ISEF 簡(jiǎn)介

英特爾國(guó)際科學(xué)與工程大獎(jiǎng)賽，簡(jiǎn)稱 "ISEF"，由美國(guó) Society for Science and the Public（科學(xué)和公共服務(wù)協(xié)會(huì)）主辦，英特爾公司冠名贊助，是全球規(guī)模最大、等級(jí)最高的中學(xué)生的科研科創(chuàng)賽事。ISEF 的學(xué)術(shù)活動(dòng)學(xué)科包括了所有數(shù)學(xué)、自然科學(xué)、工程的全部領(lǐng)域和部分社會(huì)科學(xué)。ISEF 素有全球青少年科學(xué)學(xué)術(shù)活動(dòng)的“世界杯”之美譽(yù)，旨在鼓勵(lì)學(xué)生團(tuán)隊(duì)協(xié)作，開拓創(chuàng)新，長(zhǎng)期專一深入地研究自己感興趣的課題。

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英特爾 ISEF 學(xué)術(shù)活動(dòng)詳細(xì)介紹

英特爾 ISEF 全程指導(dǎo)方案

· 數(shù)學(xué) · 物理 · 化學(xué) · 生物 · 計(jì)算機(jī) · 工程 ·

學(xué)科簡(jiǎn)介：系統(tǒng)軟件 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.

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