Name
Abstract | ||
|---|---|---|
Modern vehicles are equipped with numerous driver assistance and telematics functions, such as Turn-by-Turn navigation. Most of these systems rely on precise positioning of the vehicle. While Global Navigation Satellite Systems (GNSS) are available outdoors, these systems fail in indoor environments such as a car-park or a tunnel. Alternatively, the vehicle can localize itself with landmark-based positioning and internal car sensors, yet this is not only costly but also requires precise knowledge of the enclosed area. Instead, our approach is to use infrastructure-based positioning. Here, we utilize off-the shelf cameras mounted in the car-park and Vehicle-to-Infrastructure Communication to allow all vehicles to obtain an indoor position given from an infrastructure-based localization service. Our approach uses a Convolutional Neural Network (CNN) with Deep Learning to identify and localize vehicles in a car-park. We thus enable position-based Driver Assistance Systems (DAS) and telematics in an underground facility. We compare the novel Deep Learning classifier to a conventional classifier using Haar-like features. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/WoWMoM.2016.7523569 | 2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM) |
Keywords | Field | DocType |
vehicle indoor localization,deep learning classifier,telematics function,turn-by-turn navigation,global navigation satellite system,GNSS,indoor environment,car-park,landmark-based positioning,internal car sensor,off-the shelf camera,vehicle-to-infrastructure communication,indoor position,convolutional neural network,CNN,driver assistance system,DAS,Haar-like feature classifier | Convolutional neural network,Computer science,Real-time computing,GNSS applications,Artificial intelligence,Deep learning,Artificial neural network,Distributed computing,Computer vision,Advanced driver assistance systems,Feature extraction,Landmark,Telematics | Conference |
ISBN | Citations | PageRank |
978-1-5090-2186-4 | 5 | 0.45 |
References | Authors | |
13 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anil Kumar Tirumala Ravi Kumar | 1 | 5 | 0.45 |
| Bernd Schäufele | 2 | 11 | 3.02 |
| Daniel Becker | 3 | 16 | 2.73 |
| Oliver Sawade | 4 | 28 | 5.84 |
| Ilja Radusch | 5 | 244 | 37.15 |