High performance and fast object detection in road environments

Clicks: 310
ID: 116309
2017
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract is not available for this article.
Login to Search Abstract
Reference Key
lim20172017high Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Min-Sung Kang,Young-Chul Lim;Min-Sung Kang;Young-Chul Lim;
Journal 2017 seventh international conference on image processing theory, tools and applications (ipta)
Year 2017
DOI
10.1109/ipta.2017.8310148
URL
https://sciprofiles.com/publication/view/0814b6dd48a7896ae6faec98a5f21df8
Keywords
Machine learning graphics processing units feature extraction object detection computational modeling roads cameras

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.