Analysis of Intelligent Parking Lot

From Parking Lot to Paradise.

Reversible polydisperse parking lot model.

We use an improved reversible parking lot model to study the compaction of vibrated polydisperse media. The particle sizes are distributed according to a truncated power law. We introduce a self-consistent desorption mechanism with a hierarchical initialization of the system. In this way, we approach densities close to unity. The final density depends on the polydispersity of the system as well...

Parking lot analysis and visualization from aerial images

We propose an elevation-based approach to parking lot structure analysis from aerial imagery. In contrast to image-based methods, the new approach treats parked vehicles as 3-D microstructures and attempts to locate them in the elevation domain. The STME (Surface Texture and Microstructure Extraction) system is applied to the elevation map to extract the 3-D microstructures. A hybrid applicatio...

Self-Supervised Aerial Image Analysis for Extracting Parking Lot Structure

Road network information simplifies autonomous driving by providing strong priors about environments. It informs a robotic vehicle with where it can drive, models of what can be expected, and contextual cues that influence driving behaviors. Currently, however, road network information is manually generated using a combination of GPS survey and aerial imagery. These manual techniques are labor ...

Semi-automatic Parking System Recognizing Parking Lot Markings

This paper describes a semi-automatic parking system, which can designate target position by recognizing parking lot markings. Driver is able to designate or refine the target position by drag&drop based novel user interface. Peak pair detection and clustering in Hough space recognize marking lines. Specially, one-dimensional filter in Hough space is developed to incorporate a priori knowledge ...