High-Speed Obstacle Detection for Automated Highway Applications. Thesis proposal. Carnegie.pdf
- 1、本文档共26页,可阅读全部内容。
- 2、有哪些信誉好的足球投注网站(book118)网站文档一经付费(服务费),不意味着购买了该文档的版权,仅供个人/单位学习、研究之用,不得用于商业用途,未经授权,严禁复制、发行、汇编、翻译或者网络传播等,侵权必究。
- 3、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。如您付费,意味着您自己接受本站规则且自行承担风险,本站不退款、不进行额外附加服务;查看《如何避免下载的几个坑》。如果您已付费下载过本站文档,您可以点击 这里二次下载。
- 4、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等,请点击“版权申诉”(推荐),也可以打举报电话:400-050-0827(电话支持时间:9:00-18:30)。
查看更多
High-Speed Obstacle Detection for Automated Highway Applications. Thesis proposal. Carnegie
The Robotics Institute
Carnegie Mellon University
Pittsburgh, Pennsylvania 15213
May 1997
c 1997 Carnegie Mellon University
High-Speed Obstacle Detection for
Automated Highway Applications
Thesis Proposal
John A. Hancock
CMU-RI-TR-97-17
This research was partly sponsored by: the USDOT under Cooperative Agreement Num-
ber DTFH61-94-X-00001 as part of the National Automated Highway System Consor-
tium, and a DARPA/TACOM grant, “Technology Enhancements for UGVs”, DAAE07-
96-C-X075.
The views and conclusions contained in this document are those of the authors and should
not be interpreted as representing the official policies, either expressed or implied, of the
U.S. government.
Abstract
Highway obstacle detection is a challenging problem. Highways present an unknown
and dynamic environment with real-time constraints. In addition, the high speeds of travel force
a system to detect objects at long ranges. Although there are a number of methods that can suc-
cessfully detect moving vehicles, the more difficult problem of finding small, static road debris
such as tires or crates remains unsolved. Systems such as the Automated Highway System
(AHS) which demand high levels of safety are not feasible unless these critical problems are
addressed. Although the problem of detecting static obstacles has been tackled in both the cross-
country and indoor mobile robot navigation literature, these systems have operated at low
speeds (5 - 10 mph or less) and short range.
This thesis will improve on the current state-of-the-art, by demonstrating how small
static road debris can be safely detected at long distances and high speeds. In particular, it will
focus on using two sensor modalities: laser reflectance and stereo vision. Laser reflectance, to our
knowledge, has not been used for obstacle detection before. The thesis will show that reliable
detection can be achieved by using the right methods (sensitive enough) and the right models
(no more complicated than necessary) for both ro
您可能关注的文档
- EXCEL 教程34章.pdf
- except_but_besides_except_for_区别.ppt
- Exchange and the Coulomb blockade Peak height statistics in quantum dots.pdf
- eXist An Open Source Native XML Database.pdf
- Existence of extremal Beltrami coefficients with non-constant modulus.pdf
- Exclusive charm production in pbar p collisions at s^12 15 GeV.pdf
- expimp 与 expdp impdp 对比 及使用中的一些优化事项 ..pdf
- Exploiting path diversity in the link layer in wireless ad hoc networks.pdf
- Experimental behaviour of partially loaded concrete filled double-skin steel tube (CFDST) sections.pdf
- Exploration of acoustic correlates in speaker selection for concatenative synthesis.pdf
文档评论(0)