Driving in the Rain: A Survey toward Visibility Estimation through Windshields

Rain can significantly impair the driver’s sight and affect his performance when driving in wet conditions. Evaluation of driver visibility in harsh weather, such as rain, has garnered considerable research since the advent of autonomous vehicles and the emergence of intelligent transportation systems. In recent years, advances in computer vision and machine learning led to a significant number of new approaches to address this challenge. However, the literature is fragmented and should be reorganised and analysed to progress in this field. There is still no comprehensive survey article that summarises driver visibility methodologies, including classic and recent data-driven/model-driven approaches on the windshield in rainy conditions, and compares their generalisation performance fairly. Most ADAS and AD systems are based on object detection. Thus, rain visibility plays a key role in the efficiency of ADAS/AD functions used in semi- or fully autonomous driving. This study fills this gap by reviewing current state-of-the-art solutions in rain visibility estimation used to reconstruct the driver’s view for object detection-based autonomous driving. These solutions are classified as rain visibility estimation systems that work on (1) the perception components of the ADAS/AD function, (2) the control and other hardware components of the ADAS/AD function, and (3) the visualisation and other software components of the ADAS/AD function. Limitations and unsolved challenges are also highlighted for further research

Vision Sensors and Edge Detection

Vision Sensors and Edge Detection book reflects a selection of recent developments within the area of vision sensors and edge detection. There are two sections in this book. The first section presents vision sensors with applications to panoramic vision sensors, wireless vision sensors, and automated vision sensor inspection, and the second one shows image processing techniques, such as, image measurements, image transformations, filtering, and parallel computing

Using Motion Perception to Improve the Nighttime Conspicuity of Bicyclists at Street Crossings

Recent literature indicates that active lighting, when strategically positioned, improves bicyclists\u27 conspicuity at night. Road cyclists are unique among other vulnerable road users in two ways: 1) they can leverage their own biological human motion and mechanical bicycle motion when using conspicuity solutions; 2) their visual surface area shown to approaching traffic is greater when viewed from a right angle (i.e., 90 degrees) than from the front/rear. However, research has not yet identified how to utilize these factors to maximize conspicuity. This project investigated the conspicuity benefits of using various configurations of six LEDs on a cyclist\u27s body and bicycle. Experiment 1 quantified participants\u27 responses to video recordings of a nighttime drive that featured a test bicyclist. Experiment 2, a nighttime study on a closed road, quantified participants\u27 subjective ratings of bicyclist conspicuity at night. The findings from these studies confirmed that capitalizing on drivers\u27 sensitivity to patterns of motion can significantly enhance bicyclists\u27 nighttime conspicuity when viewed from the side. Particularly effective is highlighting the rotating motion of a bicycle\u27s wheels, allowing drivers to quickly and easily identify bicyclists

LICHT 2016 : Karlsruhe, 25. - 28. September ; Tagungsband - Proceedings ; [22. Gemeinschaftstagung = 22nd Associations’ Meeting]

Licht ist Forschungsgegenstand vieler Disziplinen: ob als Faktor in der Energieforschung, intelligente Smart-Home-Komponente in der IT-Technik, Werkzeug in Optik und Photonik oder Designelement in der Architektur. Mit diesen verschiedenen Aspekten befasst sich die Tagung „LICHT 2016“, die vom 25. bis 28. September in Karlsruhe stattfindet. Der Tagungsband enthält die Beiträge der 22. Gemeinschaftstagung der Licht-Gesellschaften Deutschlands, Österreichs, der Niederlande und der Schweiz

WOFEX 2021 : 19th annual workshop, Ostrava, 1th September 2021 : proceedings of papers

The workshop WOFEX 2021 (PhD workshop of Faculty of Electrical Engineer-ing and Computer Science) was held on September 1st September 2021 at the VSB – Technical University of Ostrava. The workshop offers an opportunity for students to meet and share their research experiences, to discover commonalities in research and studentship, and to foster a collaborative environment for joint problem solving. PhD students are encouraged to attend in order to ensure a broad, unconfined discussion. In that view, this workshop is intended for students and researchers of this faculty offering opportunities to meet new colleagues.Ostrav

Lux junior 2019: 14. Internationales Forum für den lichttechnischen Nachwuchs, 06. – 08. September 2019, Dörnfeld/Ilm : Tagungsband

Während des 14. Internationalen Forums für den lichttechnischen Nachwuchs präsentieren Studenten, Doktoranden und junge Absolventen ihre Forschungs- und Entwicklungsergebnisse aus allen Bereichen der Lichttechnik. Die Themen bewegen sich dabei von Beleuchtungsanwendungen in verschiedensten Bereichen über Lichtmesstechnik, Kraftfahrzeugbeleuchtung, LED-Anwendung bis zu nichtvisuellen Lichtwirkungen. Das Forum ist speziell für Studierende und junge Absolventen des Lichtbereiches konzipiert. Es bietet neben den Vorträgen und Postern die Möglichkeit zu Diskussionen und individuellem Austausch. Seit ihrer ersten Austragung 1993 entwickelte sich die zweijährig stattfindende Tagung zu einer Traditionsveranstaltung, die das Fachgebiet Lichttechnik der TU Ilmenau gemeinsam mit der Deutschen Lichttechnischen Gesellschaft LiTG e. V. durchführt

2017, UMaine News Press Releases

This is a catalog of press releases put out by the University of Maine Division of Marketing and Communications between January 3, 2017 and December 29, 2017