Name
Abstract | ||
|---|---|---|
We present a literature review to analyze the state of the art in the area of road detection based upon frontal images. For this purpose, a systematic literature review (SLR) was conducted that focuses on analyzing region-based works, since they can adapt to different surface types and do not depend on road geometry or lane markings. Through the comprehensive study of publications in a 11-year time frame, we analyze the methods that are being used, on which types of surface they are applied, whether they are adaptive in relation to surface changes, and whether they are able to distinguish possible faults or changes in the road, such as potholes, shadows, and puddles.
|
Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3311951 | ACM Computing Surveys (CSUR) |
Keywords | Field | DocType |
Systematic literature review, passive vision, road detection, road segmentation, visual navigation | Data mining,Time frame,Systematic review,Computer science,Visual navigation | Journal |
Volume | Issue | ISSN |
52 | 2 | 0360-0300 |
Citations | PageRank | References |
0 | 0.34 | 88 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thiago Rateke | 1 | 1 | 1.36 |
| Karla A. Justen | 2 | 1 | 0.68 |
| Vito F. Chiarella | 3 | 1 | 0.68 |
| Antonio C. Sobieranski | 4 | 3 | 0.72 |
| Eros Comunello | 5 | 66 | 15.04 |
| Aldo von Wangenheim | 6 | 209 | 49.44 |