Fang, Zhijie - Search Results - UAB Digital Repository of Documents

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Results overview: Found 5 records in 0.02 seconds.
Articles, 3 records found Books and collections, 1 records found Research literature, 1 records found

Articles	3 records found

11 p, 2.3 MB

Intention recognition of pedestrians and cyclists by 2D pose estimation / Fang, Zhijie (Centre de Visió per Computador (Bellaterra, Catalunya)) ; López Peña, Antonio M. (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Anticipating the intentions of vulnerable road users (VRUs) such as pedestrians and cyclists is critical for performing safe and comfortable driving maneuvers. This is the case for human driving and, thus, should be taken into account by systems providing any level of driving assistance, from advanced driver assistant systems (ADAS) to fully autonomous vehicles (AVs). [...]
2020 - DOI (Digital Object Identifier)

10.1109/TITS.2019.2946642
IEEE Transactions on Intelligent Transportation Systems, Vol. 21, issue 11 (Nov. 2020) , p. 4773-4783

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11 p, 863.8 KB

Pedestrian Detection at Day/Night Time with Visible and FIR Cameras : A Comparison / González, Alejandro (Universitat Autònoma de Barcelona) ; Fang, Zhijie (Universitat Autònoma de Barcelona) ; Socarras, Yainuvis (Centre de Visió per Computador (Bellaterra, Catalunya)) ; Serrat, Joan (Universitat Autònoma de Barcelona) ; Vázquez, David (Centre de Visió per Computador (Bellaterra, Catalunya)) ; Xu, Jiaolong (Universitat Autònoma de Barcelona) ; López Peña, Antonio M (Centre de Visió per Computador (Bellaterra, Catalunya))
Despite all the significant advances in pedestrian detection brought by computer vision for driving assistance, it is still a challenging problem. One reason is the extremely varying lighting conditions under which such a detector should operate, namely day and nighttime. [...]
2016 - DOI (Digital Object Identifier)

10.3390/s16060820
Sensors (Basel, Switzerland), Vol. 16, Issue 6 (June 2016) , art. 820

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14 p, 14.1 MB

On-Board Detection of Pedestrian Intentions / Fang, Zhijie (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; Vázquez Bermúdez, David (Centre de Visió per Computador (Bellaterra, Catalunya)) ; López Peña, Antonio M. (Antonio Manuel) (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Avoiding vehicle-to-pedestrian crashes is a critical requirement for nowadays advanced driver assistant systems (ADAS) and future self-driving vehicles. Accordingly, detecting pedestrians from raw sensor data has a history of more than 15 years of research, with vision playing a central role. [...]
2017 - DOI (Digital Object Identifier)

10.3390/s17102193
Sensors (Basel, Switzerland), Vol. 17 Núm. 10 (September 2017) , art. 2193

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Books and collections	1 records found

7 p, 9.7 MB

Is the pedestrian going to cross? : answering by 2D pose estimation / Fang, Zhijie (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; López Peña, Antonio M. (Centre de Visió per Computador (Bellaterra, Catalunya))
Our recent work suggests that, thanks to nowadays powerful CNNs, image-based 2D pose estimation is a promising cue for determining pedestrian intentions such as crossing the road in the path of the ego-vehicle, stopping before entering the road, and starting to walk or bending towards the road. [...]
Institute of Electrical and Electronics Engineers (IEEE), cop.2018 - DOI (Digital Object Identifier)

10.1109/IVS.2018.8500413
2018 IEEE Intelligent Vehicles Symposium (IV), 2018, p. 1271-1276

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Research literature	1 records found

122 p, 3.3 MB

Behavior understanding of vulnerable road users by 2D pose estimation / Fang, Zhijie ; López Peña, Antonio M., (Antonio Manuel) dir. ; Vázquez Bermúdez, David, dir. ; Universitat Autònoma de Barcelona. Departament de Ciències de la Computació
Anticipar les intencions dels usuaris vulnerables (VRU, per les sigles en anglès), com a vianants i ciclistes, pot ser crític per a una conducció segura i confortable. Aquest és el cas quan condueix una persona i, per tant, aquestes intencions també s'han de tenir en compte pels sistemes que brinden qualsevol nivell d'assistència a la conducció, és a dir, des dels sistemes avançats d'assistència al conductor (ADAS, en anglès) fins als vehicles totalment autònoms (AVs, en anglès). [...]
Anticipating the intentions of vulnerable road users (VRUs) such as pedestrians and cyclists can be critical for performing safe and comfortable driving maneuvers. This is the case for human driving and, therefore, should be taken into account by systems providing any level of driving assistance, i. [...]
[Barcelona] : Universitat Autònoma de Barcelona, 2019.

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1	Fang, Zhi-Jie

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