南開科技大學圖書館 |

Language: 繁體中文

說明(常見問題)

南開科技大學

圖書館首頁

編目中圖書申請

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Unsettled Technology Areas in Autonomous Vehicle Test and Validation.

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Unsettled Technology Areas in Autonomous Vehicle Test and Validation./
作者:	Razdan, Rahul.
面頁冊數:	1 online resource ;cm.
附註:	The authors of this document together with the SAE Team responsible for its creation join in expressing our deepest appreciation to all of the individuals who contributed.
標題:	Autonomous vehicles. -
電子資源:	點擊此處連結全文 ( Full Text )

Unsettled Technology Areas in Autonomous Vehicle Test and Validation.
Razdan, Rahul.

Unsettled Technology Areas in Autonomous Vehicle Test and Validation. - 1 online resource ;cm.

The authors of this document together with the SAE Team responsible for its creation join in expressing our deepest appreciation to all of the individuals who contributed.

Includes bibliographical references.

Automated driving system (ADS) technology and ADS-enabled/operated vehicles - commonly referred to as automated vehicles and autonomous vehicles (AVs) - have the potential to impact the world as significantly as the internal combustion engine. Successful ADS technologies could fundamentally transform the automotive industry, civil planning, the energy sector, and more.Rapid progress is being made in artificial intelligence (AI), which sits at the core of and forms the basis of ADS platforms. Consequently, autonomous capabilities such as those afforded by advanced driver assistance systems (ADAS) and other automation solutions are increasingly becoming available in the marketplace. To achieve highly or fully automated or autonomous capabilities, a major leap forward in the validation of these ADS technologies is required. Without this critical cog, helping to ensure the safety and reliability of these systems and platforms, the full capabilities of ADS technology will not be realized.This paper explores the ADS validation challenge by reviewing existing approaches and examining the effectiveness of those approaches, presenting critical techniques required to bring safe and effective solutions to market, discussing unsettled topics, and suggesting next steps for industry stakeholders to consider as they work to advance the ADS ecosystem.NOTE: SAE EDGE Research Reports are intended to identify and illuminate key issues in emerging, but still unsettled, technologies of interest to the mobility industry. The goal of SAE EDGE Research Reports is to stimulate discussion and work in the hope of promoting and speeding resolution of identified issues. SAE EDGE Research Reports are not intended to resolve the issues they identify or close any topic to further scrutiny.Subjects--Topical Terms:

1000138179
Autonomous vehicles.

Unsettled Technology Areas in Autonomous Vehicle Test and Validation.
LDR:03319nmm 22002771u 4500 001 1000114266
003 UtOrBLW
005 20210405081428.0
006 m o d
007 cr unu||||||||
008 210405s2019 xx o 0 eng u
035 $a EPR2019001
035 $a 1000419763
040 $a UtOrBLW
100 1 $a Razdan, Rahul. $3 1000138178
245 1 0 $a Unsettled Technology Areas in Autonomous Vehicle Test and Validation.
264 1 $a Warrendale, PA : $b SAE International, $c 2019.
300 $a 1 online resource ; $c cm.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a The authors of this document together with the SAE Team responsible for its creation join in expressing our deepest appreciation to all of the individuals who contributed.
504 1 $a Includes bibliographical references.
520 3 $a Automated driving system (ADS) technology and ADS-enabled/operated vehicles - commonly referred to as automated vehicles and autonomous vehicles (AVs) - have the potential to impact the world as significantly as the internal combustion engine. Successful ADS technologies could fundamentally transform the automotive industry, civil planning, the energy sector, and more.Rapid progress is being made in artificial intelligence (AI), which sits at the core of and forms the basis of ADS platforms. Consequently, autonomous capabilities such as those afforded by advanced driver assistance systems (ADAS) and other automation solutions are increasingly becoming available in the marketplace. To achieve highly or fully automated or autonomous capabilities, a major leap forward in the validation of these ADS technologies is required. Without this critical cog, helping to ensure the safety and reliability of these systems and platforms, the full capabilities of ADS technology will not be realized.This paper explores the ADS validation challenge by reviewing existing approaches and examining the effectiveness of those approaches, presenting critical techniques required to bring safe and effective solutions to market, discussing unsettled topics, and suggesting next steps for industry stakeholders to consider as they work to advance the ADS ecosystem.NOTE: SAE EDGE Research Reports are intended to identify and illuminate key issues in emerging, but still unsettled, technologies of interest to the mobility industry. The goal of SAE EDGE Research Reports is to stimulate discussion and work in the hope of promoting and speeding resolution of identified issues. SAE EDGE Research Reports are not intended to resolve the issues they identify or close any topic to further scrutiny.
520 2 $a SAE EDGE Research Reports provide state-of-the-art and state-of-industry examinations of the most significant topics in mobility engineering. SAE EDGE contributors are experts from research, academia, and industry who have come together to explore and define the most critical advancements, challenges, and future direction in areas such as vehicle automation, unmanned aircraft, IoT and connectivity, cybersecurity, advanced propulsion, and advanced manufacturing.
542 $d SAE International $f � 2021 SAE International. All Rights Reserved.
650 4 $a Autonomous vehicles. $3 1000138179
650 4 $a Automated Vehicles. $3 1000138172
650 4 $a Driver assistance systems. $3 1000138180
650 4 $a Artificial intelligence (AI) $3 1000138181
772 0 0 $k SAE EDGE Research Report
856 4 0 $z 點擊此處連結全文 ( Full Text ) $u https://doi.org/10.4271/EPR2019001