Tamás Lovas

Pedestrian detection by profile laser scanning

Detecting pedestrian flow parameters is of high priority in many future applications. Besides conventional solutions, such as special gates that allow only entering one-by-one or registering individuals by cards, novel remote sensing methods are able to support pedestrian sensing and detection. Mechanical solutions are expensive and slow down pedestrian traffic. Camera systems are able to collect sensitive information that require careful and complicated data handling and privacy management. Besides, acquiring 3D information (e.g. height of humans) is complicated and technical capabilities of optical sensors seriously decrease in case of dark or foggy/smoky environment. This paper discusses a method based on profile laser scanning technology and it gives a brief overview on the high accuracy and data rate laser scanning technology and on the primary application fields. In the proposed method, devices deployed in pedestrian corridors are able to continuously monitor and detect the traffic flow within the range of the sensor. The scanners are mounted in oblique position and scan perpendicular to the pedestrian traveling direction. In addition to the height and width of humans, their position and velocity also can be derived. Based on the collected data, useful information can be obtained for multiple purposes: directed pedestrian count/volume, traffic classification, flow distribution, velocity determination and additional information, e.g. on carried baggage. The proposed method does not involve collecting sensitive information about human beings, thus no privacy issues raised. The suggested technique is safe and has absolutely no hindering effect on the traffic flow, needs only info-communication support and power supply. The developed method has been validated by multiple field measurements. Reference data has been acquired by video that enabled the verification of the count, traveling direction and velocity estimation. The paper presents some statistics of the comparative analysis that prove the accuracy and reliability of the data obtained.

Comparison of spatial reconstruction software packages using DSLR images

Point cloud based modeling has become widely used in recent years in the engineering practice. This paper presents several point clouds produced by different software packages using pixel based multi view spatial reconstruction. The purpose of the investigation is to give statistical quality measures beyond the apparent differences between the point clouds. Reference measurements have been carried out by terrestrial laser scanning. There are proprietary and free software solutions among the tested programs.

SUPPORTING AUTONOMOUS VEHICLES BY CREATING HD MAPS

Abstract Maps are constantly developing, also, the newly defined High Definition (HD) maps increase the map content remarkably. They are based on three-dimensional survey, like laser scanning, and then stored in a fully new structured way to be able to support modern-day vehicles. Beyond the traditional lane based map content, they contain information about the roads’ neighbourhood. The goal of these maps is twofold. Primarily, they store the connections where the vehicles can travel with the description of the road-environment. Secondly, they efficiently support the exact vehicle positioning. The paper demonstrates the first results of a pilot study in the creation of HD map of an urban and a rural environment. The applied data collection technology was the terrestrial laser scanning, where the obtained point cloud was evaluated. The data storage has been solved by an in-house developed information storage model with the ability to help in vehicle control processes.

Analysis of Gothic Architectural Details by Spatial Object Reconstruction Techniques

The paper focuses on the 3D data acquisition technologiesthat support capturing the geometry of medieval architecturalfragmented stones. High-resolution models of such fragmentsenable the analysis of profile shapes as well as the markinglines and curves left by the instruments of stonemasons, andtherefore, indirectly, identifying connections between severalmaster builders could become possible. Considering therequirements of historical analysis and the fact that the investigatedstones are under monument protection, the authorsdecided to use remote sensing technologies, such as structuredlight scanning, terrestrial laser scanning, depth camera andimage-based reconstruction.The paper evaluates the discussed technologies based on theaccuracy and geometric resolution of the obtained 3D models.Besides technical parameters, time and cost requirements alsohave been investigated. The paper gives an overview on theadvantages and shortcomings of the applied data acquisitiontechnologies and of the provided end-products.

Real-time flow data analysis by GIS: Internet and WAP approach

Due to the heavy traffic, people living in urban areas have to get used to congested roads, increased traveling time, and stressful situations. There is a strong demand on acquiring real-time flow data on actual traffic and road conditions. Our paper presents a method on acquiring several traffic data from different data sources, such as induction loop sensor data (vehicle volume, average flow speed, road occupancy), traffic monitoring video camera images, position data of the public transport vehicles and cabs, digital database of road construction areas. A technique to combine and analyze them in sophisticated GIS (Geographic Information System) environment is also presented in the paper. Our method involves state-of-the-art multimedia communication applications, including Internet and cell-phone based JAVA Mobile Edition systems. The actual flow information are represented in easy-to-understand color-coding on the maps.