Towards smart traffic management systems: Vacant on-street parking spot detection based on video analytics
By Xavier Sevillano, Elena Marmol, Virginia Fernandez Arguedas. 2014
39 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Wenxiu Ding
- Xuyang Jing
- Zheng Yan
- Laurence Tianruo Yang
- A. Syed
- Daniel Sierra-Sosa
- Anup Kumar
- Adel Said Elmaghraby
Citations in the corpus
- A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, methodology): “Scenarios Collected data type Method Datasets Requirements CA PP Re (%) Ef RT Ro Ve ACC PR FPR Tr Te [43] Parking spot detection HOG+Gabor KNN Real-world video data Y N >90 - - - - N N N SVM N N 85, 76 - - - - N N N [106] Parking activity detection Car and GPS data Wavelet entropy Real-world data Y ”
- IoT in Smart Cities: A Survey of Technologies, Practices and Challenges (2021, background): “Regression solutions [205–207] are typically used to predict a parking lots occupancy levels in the future whereas classi-fication systems [208–210] involve guiding drivers according to the shortest distance as well as used for user localization purposes within such lots.”
- A Survey of Smart Parking Solutions (2017, background): “Cameras [16], [27]–[29], [74], [75] and acoustic sensors [31], [32] provide a much more complicated signal pattern than ultrasonic.”