【摘要】：當(dāng)前，全球新一輪科技革命和產(chǎn)業(yè)變革正孕育興起，自動(dòng)駕駛作為人工智能最重要的應(yīng)用載體之一，對(duì)于加快交通強(qiáng)國(guó)、智能汽車強(qiáng)國(guó)建設(shè)，具有十分突出的戰(zhàn)略意義。我國(guó)自動(dòng)駕駛研發(fā)應(yīng)用，面臨技術(shù)、資金、應(yīng)用等諸多挑戰(zhàn)，為此，需要打造一套符合我國(guó)國(guó)情的自動(dòng)駕駛系統(tǒng)級(jí)解決方案，并以開放平臺(tái)形式賦能全行業(yè)，推動(dòng)產(chǎn)業(yè)集聚發(fā)展。同時(shí)，順應(yīng)汽車智能化網(wǎng)聯(lián)化的趨勢(shì)，針對(duì)自動(dòng)駕駛技術(shù)復(fù)雜、投資高、周期長(zhǎng)等瓶頸問(wèn)題，深入研究自動(dòng)駕駛產(chǎn)業(yè)共性技術(shù)，突破基礎(chǔ)性關(guān)鍵技術(shù)，并通過(guò)開源社區(qū)等形式向行業(yè)開放基礎(chǔ)技術(shù)能力，建立以企業(yè)為主體的、滿足產(chǎn)學(xué)研多樣化需求的產(chǎn)業(yè)應(yīng)用典型場(chǎng)景模型和開發(fā)規(guī)范，搭建企業(yè)研發(fā)標(biāo)準(zhǔn)規(guī)范和企業(yè)測(cè)試標(biāo)準(zhǔn)規(guī)范兩大體系，構(gòu)筑符合中國(guó)國(guó)情的安全測(cè)評(píng)體系，助力交通強(qiáng)國(guó)和智能汽車強(qiáng)國(guó)建設(shè)。本篇論文主要聚焦典型自動(dòng)駕駛應(yīng)用場(chǎng)景，研究自動(dòng)駕駛產(chǎn)業(yè)應(yīng)用平臺(tái)，構(gòu)筑以企業(yè)為主體的產(chǎn)業(yè)化參考實(shí)現(xiàn)模型，打造銜接技術(shù)研發(fā)和產(chǎn)業(yè)落地的“雙向”服務(wù)平臺(tái)，促進(jìn)項(xiàng)目最新研究成果向行業(yè)開放應(yīng)用，滿足產(chǎn)學(xué)研多樣化需求。

【關(guān)鍵詞】：自動(dòng)駕駛，人工智能，產(chǎn)業(yè)應(yīng)用，智能網(wǎng)聯(lián)，

Autonomous driving national new generation of artificial???????????????????? intelligence open innovation platform industrial application

LI Ming 1

?China Intelligent and Connected Vehicles (Beijing) Research Institute Co.,Ltd, Beijing 100176

Abstract: At present, a new round of global scientific and technological revolution and industrial transformation are emerging. As one of the most important application carriers of artificial intelligence, automatic driving has a very prominent strategic significance for speeding up the construction of a powerful country in transportation and intelligent vehicles.China's autonomous driving research and application is faced with many challenges such as technology, capital and application. Therefore, it is necessary to build a set of automatic driving system-level solutions in line with China's national conditions, and enable the whole industry in the form of open platform to promote industrial agglomeration and development.At the same time, following the trend of intelligent and networked vehicles, and aiming at the bottleneck problems such as the complexity, high investment and long cycle of autonomous driving technology, the company will conduct in-depth research on generic technologies of the autonomous driving industry, make breakthroughs in basic and key technologies, and open basic technical capabilities to the industry through open source communities.Establish typical industrial application scene models and development norms with enterprises as the main body to meet the diversified needs of enterprises, universities and research institutes, set up two systems of enterprise research and development standards and standards and standards for ent文章來(lái)源地址http://www.zghlxwxcb.cn/news/detail-634580.html