INVESTIGATIONS ON THE POTENTIAL OF CONVOLUTIONAL NEURAL NETWORKS FOR VEHICLE CLASSIFICATION BASED ON RGB AND LIDAR DATA

5 citations as recorded by crossref.

1. Detection of Vehicles in Multisensor Data via Multibranch Convolutional Neural Networks H. Schilling et al. 10.1109/JSTARS.2018.2825099
2. Vehicle detection of multi-source remote sensing data using active fine-tuning network X. Wu et al. 10.1016/j.isprsjprs.2020.06.016
3. A convolutional feature map-based deep network targeted towards traffic detection and classification B. Kaur & J. Bhattacharya 10.1016/j.eswa.2019.01.014
4. Extraction of Pluvial Flood Relevant Volunteered Geographic Information (VGI) by Deep Learning from User Generated Texts and Photos Y. Feng & M. Sester 10.3390/ijgi7020039
5. Object-based detection of vehicles using combined optical and elevation data H. Schilling et al. 10.1016/j.isprsjprs.2017.11.023