Road geometry classification by adaptive shape models
Vision-based road detection is important for different applications in transportation, such as autonomous driving, vehicle collision warning, and pedestrian crossing detection. Common approaches to road detection are based on low-level road appearance (e.g., color or texture) and neglect of the scen...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2013
|
| In: |
IEEE transactions on intelligent transportation systems
Year: 2012, Jahrgang: 14, Heft: 1, Pages: 459-468 |
| DOI: | 10.1109/TITS.2012.2221088 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1109/TITS.2012.2221088
|
| Verfasserangaben: | José M. Álvarez, Theo Gevers, Member, IEEE, Ferran Diego, and Antonio M. López |
MARC
| LEADER | 00000caa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1757759956 | ||
| 003 | DE-627 | ||
| 005 | 20220819204533.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 210512r20132012xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1109/TITS.2012.2221088 |2 doi | |
| 035 | |a (DE-627)1757759956 | ||
| 035 | |a (DE-599)KXP1757759956 | ||
| 035 | |a (OCoLC)1341408749 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 28 |2 sdnb | ||
| 100 | 1 | |a Alvarez, José M. |e VerfasserIn |0 (DE-588)1233419021 |0 (DE-627)175775993X |4 aut | |
| 245 | 1 | 0 | |a Road geometry classification by adaptive shape models |c José M. Álvarez, Theo Gevers, Member, IEEE, Ferran Diego, and Antonio M. López |
| 264 | 1 | |c 2013 | |
| 300 | |a 10 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date of Publication: 12 November 2012 | ||
| 500 | |a Gesehen am 12.05.2021 | ||
| 520 | |a Vision-based road detection is important for different applications in transportation, such as autonomous driving, vehicle collision warning, and pedestrian crossing detection. Common approaches to road detection are based on low-level road appearance (e.g., color or texture) and neglect of the scene geometry and context. Hence, using only low-level features makes these algorithms highly depend on structured roads, road homogeneity, and lighting conditions. Therefore, the aim of this paper is to classify road geometries for road detection through the analysis of scene composition and temporal coherence. Road geometry classification is proposed by building corresponding models from training images containing prototypical road geometries. We propose adaptive shape models where spatial pyramids are steered by the inherent spatial structure of road images. To reduce the influence of lighting variations, invariant features are used. Large-scale experiments show that the proposed road geometry classifier yields a high recognition rate of 73.57% ± 13.1, clearly outperforming other state-of-the-art methods. Including road shape information improves road detection results over existing appearance-based methods. Finally, it is shown that invariant features and temporal information provide robustness against disturbing imaging conditions. | ||
| 534 | |c 2012 | ||
| 650 | 4 | |a Adaptation models | |
| 650 | 4 | |a Geometry | |
| 650 | 4 | |a GIST | |
| 650 | 4 | |a Hidden Markov models | |
| 650 | 4 | |a holistic representation | |
| 650 | 4 | |a illuminant invariant | |
| 650 | 4 | |a image classification | |
| 650 | 4 | |a Lighting | |
| 650 | 4 | |a road detection | |
| 650 | 4 | |a Roads | |
| 650 | 4 | |a scene classifier | |
| 650 | 4 | |a scene recognition | |
| 650 | 4 | |a Shape | |
| 650 | 4 | |a spatial pyramids | |
| 650 | 4 | |a support vector machine | |
| 650 | 4 | |a Training | |
| 700 | 1 | |a Gevers, Theo |e VerfasserIn |4 aut | |
| 700 | 1 | |a Diego, Ferran |e VerfasserIn |0 (DE-588)1223486966 |0 (DE-627)1742860613 |4 aut | |
| 700 | 1 | |a Lopez, Antonio M. |e VerfasserIn |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |a Institute of Electrical and Electronics Engineers |t IEEE transactions on intelligent transportation systems |d New York, NY : Inst. of Electrical and Electronics Engineers, 2000 |g 14(2013), 1, Seite 459-468 |h Online-Ressource |w (DE-627)325161909 |w (DE-600)2034300-0 |w (DE-576)094086257 |7 nnas |
| 773 | 1 | 8 | |g volume:14 |g year:2013 |g number:1 |g pages:459-468 |g extent:10 |a Road geometry classification by adaptive shape models |
| 856 | 4 | 0 | |u https://doi.org/10.1109/TITS.2012.2221088 |x Verlag |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 951 | |a AR | ||
| 992 | |a 20210512 | ||
| 993 | |a Article | ||
| 994 | |a 2013 | ||
| 998 | |g 1223486966 |a Diego, Ferran |m 1223486966:Diego, Ferran |d 700000 |d 718000 |e 700000PD1223486966 |e 718000PD1223486966 |k 0/700000/ |k 1/700000/718000/ |p 3 | ||
| 999 | |a KXP-PPN1757759956 |e 3928120093 | ||
| BIB | |a Y | ||
| SER | |a journal | ||
| JSO | |a {"relHost":[{"disp":"Institute of Electrical and Electronics EngineersIEEE transactions on intelligent transportation systems","note":["Gesehen am 05.10.06"],"type":{"bibl":"periodical","media":"Online-Ressource"},"language":["eng"],"corporate":[{"display":"Institute of Electrical and Electronics Engineers","roleDisplay":"VerfasserIn","role":"aut"}],"recId":"325161909","pubHistory":["1.2000 -"],"part":{"issue":"1","pages":"459-468","year":"2013","extent":"10","volume":"14","text":"14(2013), 1, Seite 459-468"},"titleAlt":[{"title":"Transactions on intelligent transportation systems"}],"title":[{"title":"IEEE transactions on intelligent transportation systems","title_sort":"IEEE transactions on intelligent transportation systems"}],"physDesc":[{"extent":"Online-Ressource"}],"name":{"displayForm":["Intelligent Transportation Systems Council"]},"origin":[{"dateIssuedDisp":"2000-","publisher":"Inst. of Electrical and Electronics Engineers","dateIssuedKey":"2000","publisherPlace":"New York, NY"}],"id":{"zdb":["2034300-0"],"eki":["325161909"]}}],"physDesc":[{"extent":"10 S."}],"name":{"displayForm":["José M. Álvarez, Theo Gevers, Member, IEEE, Ferran Diego, and Antonio M. López"]},"id":{"doi":["10.1109/TITS.2012.2221088"],"eki":["1757759956"]},"origin":[{"dateIssuedKey":"2013","dateIssuedDisp":"2013"}],"language":["eng"],"recId":"1757759956","note":["Date of Publication: 12 November 2012","Gesehen am 12.05.2021"],"type":{"bibl":"article-journal","media":"Online-Ressource"},"person":[{"given":"José M.","family":"Alvarez","role":"aut","display":"Alvarez, José M.","roleDisplay":"VerfasserIn"},{"role":"aut","roleDisplay":"VerfasserIn","display":"Gevers, Theo","given":"Theo","family":"Gevers"},{"role":"aut","roleDisplay":"VerfasserIn","display":"Diego, Ferran","given":"Ferran","family":"Diego"},{"family":"Lopez","given":"Antonio M.","display":"Lopez, Antonio M.","roleDisplay":"VerfasserIn","role":"aut"}],"title":[{"title_sort":"Road geometry classification by adaptive shape models","title":"Road geometry classification by adaptive shape models"}]} | ||
| SRT | |a ALVAREZJOSROADGEOMET2013 | ||