Infotech IEEE Intelligent Vehicles 2014

Infotech Arge Danışman’ı Tankut Acarman’nın Program Chair olduğu konferansta Infotech R&D Ekibinin çalışmaları olan aşağıdaki üç yayın ile katılım sağladı. “Vehicle Localization Enhancement with VANETs” başlık paper ise çok az sayıdaki sunum yapılması için seçilen yayınlar arasında yer aldı. Sunumu CEO’muz Ali Ufuk Peker gerçekleştirdi.

Definition of Local Integrity Heat Map

IEEE IV’14 The Intelligent Vehicles International Symposium), Dearborn, Michigan, USA
April 2014

Global Navigation Satellite Systems (GNSS) are widely used in vehicle navigation applications. GNSS mostly suffer from atmospheric conditions and urban buildings. Due to urban buildings, GNSS signals are blocked and it is likely that the number of available satellites is insufficient to compute position fix. Classical integrity concepts do not regard local cases which appears a likely case in the vehicle navigation domain. Recent studies discuss about local integrity concept to overcome this problem in urban locations. However technical applicability using feasible resources is low. In this paper, we present a local integrity heat map that indicates possible urban canyons and estimate positioning error given the location and time of the measurement. Local integrity heat map is designed as a digital map attribute which will be used as another sensor information at the time of position sensor fusion to enhance localization and map matching. Real world field tests show that local integrity heat map is a good indicator of position fix error.

4 authors
Ali Ufuk Peker
CEO at Infotech Inc.

Kerem Par
CTO at Infotech Inc.

Emre Kaplan
R&D Engineer, PhD cnd in Computer Science

Tankut Acarman
Assoc.Prof at Galatasaray University

Fusion of Map Matching And Traffic Sign Recognition

IEEE IV’14 The Intelligent Vehicles International Symposium), Dearborn, Michigan, USA
April 1, 2014

This paper presents a high performance and robust system for traffic sign recognition with digital map fusion. The proposed system is enhanced by fusion of different sensors
and recognition is improved. Traffic sign is detected by a monochrome camera added by a reflective surface detector whereas recognition is achieved by a template matching
algorithm. Digital Maps used in this work are standard navigable data. For localization the GPS receiver and the odometer of the test vehicle is used with the developed particle filter based map-matching algorithm. Tests are accomplished in rural and urban areas of metropolitan city for both day and night conditions. Especially, success rate at night scenes is comparably higher when compared to existing approaches and technologies. The system is unique since it is not limited to certain sign types, can be used in day and night conditions. The proposed system can be easily adapted to real world applications since it utilises low cost and industrially available digital map content and sensors.

4 authors:
Ali Ufuk Peker
CEO at Infotech Inc.

Prof. Oğuz Tosun

H. Levent Akin
Dean of Faculty of Engineering at Bogazici University

Tankut Acarman
Assoc.Prof at Galatasaray University

Vehicle Localization Enhancement with VANETs

IEEE IV’14 The Intelligent Vehicles International Symposium), Dearborn, Michigan, USA
April 1, 2014

This paper presents an assisted system for vehicle localization and map-matching by utilizing Vehicle ad-hoc Networks (VANETs). Fusion of the GNSS and odometer measurement is augmented by ranging distance. Ranging is computed by exchanging the data packets between the vehicular nodes equipped with Dedicated Short Range Communication (DSRC) modem and GNSS receiver. Time-of-Arrival (ToA) of exchanged data packet between the two vehicular nodes is converted in distance. Map matching enhances accuracy of localization while projecting the result of multilateration created by numerous ranging queries. Realistic simulations are conducted to test the performance of the algorithm. Test results show bounded and acceptable particle filter positioning results. The scenario of GPS outages and low number of vehicles
collaborating for positioning are simulated. Tracking performance of the particle filter is illustrated. Algorithm helps dead reckoning when GPS data is not available temporarily. A simple GPS receiver is fused with odometer data during tests. Particularly, expensive sensors are not used to achieve better price/performance towards commercial usage.

4 authors:
Ali Ufuk Peker
CEO at Infotech Inc.

Tankut Acarman
Assoc.Prof at Galatasaray University

Çağdaş Yaman

Erkan Yüksel

g01
g02
g03
g04
g05