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- Title
Recent progress in road and lane detection: a survey.
- Authors
Bar Hillel, Aharon; Lerner, Ronen; Levi, Dan; Raz, Guy
- Abstract
The problem of road or lane perception is a crucial enabler for advanced driver assistance systems. As such, it has been an active field of research for the past two decades with considerable progress made in the past few years. The problem was confronted under various scenarios, with different task definitions, leading to usage of diverse sensing modalities and approaches. In this paper we survey the approaches and the algorithmic techniques devised for the various modalities over the last 5 years. We present a generic break down of the problem into its functional building blocks and elaborate the wide range of proposed methods within this scheme. For each functional block, we describe the possible implementations suggested and analyze their underlying assumptions. While impressive advancements were demonstrated at limited scenarios, inspection into the needs of next generation systems reveals significant gaps. We identify these gaps and suggest research directions that may bridge them.
- Subjects
AUTOMOTIVE transportation; DRIVER assistance systems; GLOBAL Positioning System; COMPUTER vision; ROADS
- Publication
Machine Vision & Applications, 2014, Vol 25, Issue 3, p727
- ISSN
0932-8092
- Publication type
Article
- DOI
10.1007/s00138-011-0404-2