Conference Papers 2023

Seminar
Day 1 (6 Sep 2023), Session 3, Data Collection 1, 16:30 - 18:00

Status
Accepted, documents submitted

Submitted by / Abstract owner
koray aksu

Authors
Koray Aksu, Istanbul Technical University, Faculty of Civil Engineering, Department of Geomatics Engineering, Istanbul, Turkey

Hande Demirel, Istanbul Technical University, Faculty of Civil Engineering, Department of Geomatics Engineering, Istanbul, Turkey

Reha M. Alkan, Istanbul Technical University, Faculty of Civil Engineering, Department of Geomatics Engineering, Istanbul, Turkey

Mustafa Yanalak, Istanbul Technical University, Faculty of Civil Engineering, Department of Geomatics Engineering, Istanbul, Turkey

Short abstract
This study transforms the campus transportation infrastructure into a digital environment that is the main pillar of the “smart campuses” concept. The contribution will be on novel data acquisition techniques and generating High-Definition Maps.

Abstract
The development of autonomous vehicles and smart transportation systems rapids up the digital transformation processes in the transportation sector. The initial trials of such transformations could be easily facilitated on campus, due to a noncomplex and safe environment compared to city centers. The integration of digital technologies into campus infrastructure will not only improve transportation efficiency but also improve the overall user experience, especially for students, faculty, and visitors. It will also provide a test environment for the development and utilization of the latest technologies related to autonomous vehicles and intelligent transportation systems. One of the crucial components of this transformation is the creation of High-Definition Maps (HD Maps) that are essential for autonomous vehicles to interact with their surroundings, as they allow the vehicles to navigate safely and accurately. Hence, this study aims to facilitate the safe and efficient operation of autonomous vehicles on campus roads by generating HD maps. For this production, data acquisition is a critical step, where the necessary data is obtained through the use of mobile mapping systems. These are generally vehicles equipped with a Global Navigation Satellite Systems receiver, panoramic camera, Inertial Measurement Unit, Light Detection and Ranging device, and odometer sensors. For this study, the Ayazağa Campus of Istanbul Technical University served as the pilot area for data acquisition using such a novel system. The data obtained from this process include point cloud data, panoramic photos, precise location information, and timestamps for each data point. A total of 4267 panoramic photos and 433 point cloud data were collected along a road network of about 24 kilometers. However, some challenges still remain such as the vast amount of data to be processed, sensor calibration, and autonomous high-definition map generation. These challenges, possible solutions, and lessons learned will be discussed in this paper. Overall, facilitating the operation of driverless vehicles represents an important step towards a smart campus. The digital infrastructure generated through this study will serve as a model and a test field for other campuses and cities that will follow a similar approach to improve the overall transport experience for their users.

Programme committee
Data

Topic
Cities and transport – integrated planning, liveable cities, active transport