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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 04436naa a2200445 4500 | |
| 001 | oai:DiVA.org:kth-240793 | |
| 003 | SwePub | |
| 008 | 190103s2018 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2407932 URI |
| 024 | 7 | a https://doi.org/10.1155/2018/48153832 DOI |
| 040 | a (SwePub)kth | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Chen, Guangu Tongji Univ, Coll Automot Engn, Shanghai, Peoples R China.;Tech Univ Munich, Robot & Embedded Syst, Munich, Germany.4 aut |
| 245 | 1 0 | a Neuromorphic Vision Based Multivehicle Detection and Tracking for Intelligent Transportation System |
| 264 | 1 | b Hindawi Limited,c 2018 |
| 338 | a print2 rdacarrier | |
| 500 | a QC 20190103 | |
| 520 | a Neuromorphic vision sensor is a new passive sensing modality and a frameless sensor with a number of advantages over traditional cameras. Instead of wastefully sending entire images at fixed frame rate, neuromorphic vision sensor only transmits the local pixel-level changes caused by the movement in a scene at the time they occur. This results in advantageous characteristics, in terms of low energy consumption, high dynamic range, sparse event stream, and low response latency, which can be very useful in intelligent perception systems for modern intelligent transportation system (ITS) that requires efficient wireless data communication and low power embedded computing resources. In this paper, we propose the first neuromorphic vision based multivehicle detection and tracking system in ITS. The performance of the system is evaluated with a dataset recorded by a neuromorphic vision sensor mounted on a highway bridge. We performed a preliminary multivehicle tracking-by-clustering study using three classical clustering approaches and four tracking approaches. Our experiment results indicate that, by making full use of the low latency and sparse event stream, we could easily integrate an online tracking-by-clustering system running at a high frame rate, which far exceeds the real-time capabilities of traditional frame-based cameras. If the accuracy is prioritized, the tracking task can also be performed robustly at a relatively high rate with different combinations of algorithms. We also provide our dataset and evaluation approaches serving as the first neuromorphic benchmark in ITS and hopefully can motivate further research on neuromorphic vision sensors for ITS solutions. | |
| 650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datorteknik0 (SwePub)102062 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Computer Engineering0 (SwePub)102062 hsv//eng |
| 700 | 1 | a Cao, Huu Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha, Hunan, Peoples R China.4 aut |
| 700 | 1 | a Aafaque, Muhammadu Tech Univ Munich, Robot & Embedded Syst, Munich, Germany.4 aut |
| 700 | 1 | a Chen, Jienengu Tongji Univ, Coll Elect & Informat Engn, Shanghai, Peoples R China.4 aut |
| 700 | 1 | a Ye, Canbou Tongji Univ, Coll Automot Engn, Shanghai, Peoples R China.4 aut |
| 700 | 1 | a Roehrbein, Florianu Tech Univ Munich, Robot & Embedded Syst, Munich, Germany.4 aut |
| 700 | 1 | a Conradt, Jörgu KTH,Beräkningsvetenskap och beräkningsteknik (CST)4 aut0 (Swepub:kth)u1w41vp7 |
| 700 | 1 | a Chen, Kaiu Tongji Univ, Coll Automot Engn, Shanghai, Peoples R China.4 aut |
| 700 | 1 | a Bing, Zhenshanu Tech Univ Munich, Robot & Embedded Syst, Munich, Germany.4 aut |
| 700 | 1 | a Liu, Xingbou Tongji Univ, Coll Automot Engn, Shanghai, Peoples R China.4 aut |
| 700 | 1 | a Hinz, Gereonu Tech Univ Munich, Robot & Embedded Syst, Munich, Germany.4 aut |
| 700 | 1 | a Stechele, Walteru Tech Univ Munich, Integrated Syst, Munich, Germany.4 aut |
| 700 | 1 | a Knoll, Aloisu Tech Univ Munich, Robot & Embedded Syst, Munich, Germany.4 aut |
| 710 | 2 | a Tongji Univ, Coll Automot Engn, Shanghai, Peoples R China.;Tech Univ Munich, Robot & Embedded Syst, Munich, Germany.b Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha, Hunan, Peoples R China.4 org |
| 773 | 0 | t Journal of Advanced Transportationd : Hindawi Limitedx 0197-6729x 2042-3195 |
| 856 | 4 | u https://downloads.hindawi.com/journals/jat/2018/4815383.pdf |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240793 |
| 856 | 4 8 | u https://doi.org/10.1155/2018/4815383 |
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