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經(jīng)緯恒潤的卷積神經(jīng)網(wǎng)絡(luò) (CNN)解決方案利用 InnovizOne 激光雷達技術(shù)提高港口運營效率潛力與安全
以色列特拉維夫及中國北京2022年9月6日 /美通社/ -- 高性能汽車級LiDAR (激光雷達)傳感器與感知軟件領(lǐng)導(dǎo)供應(yīng)商Innoviz Technologies(NASDAQ: INVZ)以及該公司戰(zhàn)略伙伴中國汽車市場頂尖解決方案供貨商北京經(jīng)緯恒潤(HiRain Technologies)今日宣布在中國各港口部署InnovizOne 激光雷達傳感器，包括部署在HiRain的自動駕駛卡車與無人搬運車(AGV)。第一波部署將從山東日照港開始，雙方將計劃拓展至更多港口。
運用 InnovizOne LiDAR以及 恒潤的卷積神經(jīng)網(wǎng)絡(luò) (CNN)打造的組合解決方案現(xiàn)已在中國多個港口部署，包括自動駕駛卡車以及無人搬運車和各種車聯(lián)網(wǎng)(V2X)應(yīng)用，用來改進運營效率、降低風(fēng)險、以及增進員工安全。Innoviz與恒潤的傳感系統(tǒng)可靠耐用，探測車輛、行人、以及港口常見的其他基礎(chǔ)設(shè)施及其精確位置、距離和尺寸。恒潤的完全集成式系統(tǒng)還包含LiDAR 保護、熱幅射管理、吸震、降噪、防塵與清潔等機制。
此外，恒潤已運用InnovizOne 激光雷達部署自己的路側(cè)V2X解決方案。這款五合一傳感系統(tǒng)能從高空鳥瞰視角監(jiān)視車流、搜集環(huán)境數(shù)據(jù)，實時傳送到高性能計算機，由該計算機將數(shù)據(jù)廣播至所有周圍的卡車，藉以規(guī)避碰撞。
Innoviz聯(lián)合創(chuàng)始人暨CEO Omer Keilaf表示，由于員工短缺加上中國與全球各地港口擁堵問題日益嚴重，致使全球供應(yīng)鏈危機更加惡化。在這個特殊時機運用InnovizOne LiDAR 部署恒潤的自動駕駛車與V2X車聯(lián)網(wǎng)系統(tǒng)，不僅將大幅提升效率，還能促成每天24小時/每周7天持續(xù)不間斷營運的能力。
Innoviz 與經(jīng)緯恒潤 從2018年便開始合作，恒潤計劃將Innoviz的新一代激光雷達傳感器InnovizTwo集成到公司的多個智駕平臺，讓港口運營更加安全且有效率。
經(jīng)緯恒潤首席技術(shù)官兼副總經(jīng)理范成建博士(Chengjian Fan)表示，激光雷達是當前最關(guān)鍵的科技之一，在未來發(fā)展將扮演極重要的角色，不光是在自動駕駛，還包括各種必須相互通信的基礎(chǔ)設(shè)施。我們非常高興和Innoviz的團隊一起合力將這些產(chǎn)品推向市場，并期盼利用Innoviz的解決方案開發(fā)更多產(chǎn)品。
關(guān)于北京經(jīng)緯恒潤
經(jīng)緯恒潤成立于2003年，專注于為汽車、無人運輸?shù)阮I(lǐng)域的客戶提供電子產(chǎn)品、研發(fā)服務(wù)和高級別智能駕駛整體解決方案。總部位于北京，并在天津、南通建立了現(xiàn)代化的生產(chǎn)工廠，形成了完善的研發(fā)、生產(chǎn)、營銷、服務(wù)體系。本著"價值創(chuàng)新、服務(wù)客戶"的理念，公司堅持 "專業(yè)聚焦"、"技術(shù)領(lǐng)先"和"平臺化發(fā)展"的戰(zhàn)略，致力于成為國際一流綜合型的電子系統(tǒng)科技服務(wù)商、智能網(wǎng)聯(lián)汽車全棧式解決方案供應(yīng)商和高級別智能駕駛MaaS解決方案領(lǐng)導(dǎo)者。更多信息請訪問
關(guān)于 Innoviz Technologies
Innoviz 為車規(guī)級激光雷達技術(shù)的全球領(lǐng)導(dǎo)者，致力于在全球道路上打造安全的自動駕駛汽車未來。 Innoviz 的激光雷達和感知軟件比人類駕駛員"看得更清楚"并減少出錯可能，滿足汽車行業(yè)對性能和安全性的最嚴格期望。Innoviz 在美國、歐洲和亞洲拓展業(yè)務(wù)，并已被國際知名的頂級汽車品牌選用于其乘用車自動駕駛系統(tǒng)，同時獲其他商業(yè)和工業(yè)領(lǐng)導(dǎo)者采用于廣泛的應(yīng)用。更多信息請訪問
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Maya Lustig
Innoviz Technologies
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Investors@innoviz-tech.com
Forward Looking Statements
This announcement contains certain forward-looking statements within the meaning of the federal securities laws, including statements regarding the services offered by Innoviz, the anticipated technological capability of Innoviz's products, the markets in which Innoviz operates and Innoviz's projected future results. These forward-looking statements generally are identified by the words "believe," "project," "expect," "anticipate," "estimate," "intend," "strategy," "future," "opportunity," "plan," "may," "should," "will," "would," "will be," "will continue," "will likely result," and similar expressions. Forward-looking statements are predictions, projections and other statements about future events that are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Many factors could cause actual future events to differ materially from the forward-looking statements in this announcement, including but not limited to, the ability to implement business plans, forecasts, and other expectations, the ability to identify and realize additional opportunities, and potential changes and developments in the highly competitive LiDAR technology and related industries. The foregoing list of factors is not exhaustive. You should carefully consider the foregoing factors and the other risks and uncertainties described in Innoviz's annual report on Form 20-F filed with the SEC on April 21, 2021, and other documents filed by Innoviz from time to time with the SEC. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and Innoviz assumes no obligation and does not intend to update or revise these forward-looking statements, whether as a result of new information, future events, or otherwise. Innoviz gives no assurance that it will achieve its expectations.
