미국대학원_과제_자율자동차 IoT 적용사례 연구조사_Columbia Univ_IoT in Autonomous Car Industry
등록일 / 수정일- 페이지 / 형식
- 자료평가
- 구매가격
- 2021.01.19 / 2021.01.19
- 10페이지 /
docx (MS워드 2007이상) - 평가한 분이 없습니다. (구매금액의 3%지급)
- 500원
최대 20페이지까지 미리보기 서비스를 제공합니다.
자료평가하면 구매금액의 3%지급!
1
2
3
4
5
6
7
8
9
10
추천 연관자료
- 본문내용
-
IoT in Autonomous Car Industry
GROUP 1:
The Origin of IoT in Autonomous Vehicle Industry
The origin of IoT usage within vehicle industry date back in early 1958, where the idea of the self-driving car became prominent (Ninan, Simon, et al). It was not until 1995 during the embedded era that different auto companies started exploring the connectivity aspect of the car and the roads, for instance, GM OnStar. But the idea was never implemented because of its capital-intensive involvement, lack of competition and use cases at the time. The first experience of true IoT was seen during infotainment era which ranges from 2007 to 2012 (refer to figure 1 below). During this era, the car technology such as Ford Sync and GM Mylink took advantage of wireless connectivity aspect which was enabled by the wireless IoT technology. It was at this time the IoT usage in connecting autonomous car through smart cities and different car networks became prevalent. The image below highlights the key eras where the IoT experienced an exponential growth until today.
2. Challenge and Risk
Today’s automakers are still facing fierce competition and challenges. Essentially, an autonomous car needs to replace a human driver from three aspects: perception, computing and control (Tim Menke, 2017). The technology to complete these tasks is achieved through several kinds of high-tech devices, including cameras, radars and computers. Cameras and radars can receive photos and sounds while computers will integrate all the information and hand out instructions to control electronics just as human brains do.
However, these high-tech devices have some risks. For example, cameras perform well in identifying shapes and colors, but they are bad at calculating the distance between cars and surrounding objects. The main computer of the car requires the high-level system to guarantee accuracy and safety.
In addition to technical problems, policy and regulation issues are also challenging for automakers. Although some cities nationwide have allowed autonomous vehicle testing on public roads, there are still many other cities that are not prepared for large-scale deployment of autonomous vehicles (NEWS STAFF, 2017). They still need time for the government to consider the benefits and drawbacks.
3. The Current State of the Autonomous Vehicles Industry
Autonomy
The level of “autonomy” currently available on the market is 2, which enables partial automation (refer to figure 2 below). One of the best-known products at this level is Tesla Model S (refer to figure 3 for full list). Level 3 and 4 (and even level 5 in few cases) vehicles are currently being tested by many car manufacturers, suppliers, and platform developers such as GM and NVIDIA.
자료평가
-
아직 평가한 내용이 없습니다.
오늘 본 자료
더보기
최근 판매 자료
- 김남조 시인에 대하여
- [교육과정]bloom의 인지적 영역
- 영유아교육과정 중 지역사회연계 프로그램 논문 연구 - 저소득 영유아(빈곤 아동)를 중심으로
- 교육철학및교육사_학자들의 교육사상이나 교육내용 및 방법 등을 현재 유아교육에 적용할 수 있는 부분이나 유아교사에 대한 시사점 등에 대한 자신의 생각을 작성하시오
- [영문학] 미국문학에서의 소수민족문학과 작가
- 어린이집 만4세 놀이,일상 관찰일지 (3월~8월) 8명
- 만 4세 1학기 유아 발달평가 25명
- 음악과 교수 학습과정안 방울꽃 학습지도안 방울꽃 수업지도안 방울꽃 공개수업지
- 중국문학사 - 죽림칠현
- 국가와 윤리 시민 불복종
저작권 관련 사항 정보 및 게시물 내용의 진실성에 대하여 레포트샵은 보증하지 아니하며, 해당 정보 및 게시물의 저작권과 기타 법적 책임은 자료 등록자에게 있습니다. 위 정보 및 게시물 내용의 불법적 이용, 무단 전재·배포는 금지됩니다. 저작권침해, 명예훼손 등 분쟁요소 발견시 고객센터에 신고해 주시기 바랍니다.
