Răzvan-Cătălin Miclea

Polytechnic University of Timişoara

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Co-Authors

Ioan Silea

Polytechnic University of Timişoara

Vlad-Ilie Ungureanu

Polytechnic University of Timişoara

Florin-Daniel Sandru

Polytechnic University of Timişoara

Florin Alexa

Polytechnic University of Timişoara

Florin Sandru

Polytechnic University of Timişoara

Paul Negȋrla

Polytechnic University of Timişoara

Ciprian Dughir

Polytechnic University of Timişoara

Bianca-Alexandra Trutiu

Polytechnic University of Timişoara

Sorin Nanu

Polytechnic University of Timişoara

Cristian G. Zimbru

Polytechnic University of Timişoara

Cooperative Institutions

Polytechnic University of Timişoara

Institute of Electrical and Electronics Engineers

University of Catania

West University of Timişoara

University of Bucharest

Universitatea Națională de Știință și Tehnologie Politehnica București

Victor Babeș University of Medicine and Pharmacy Timișoara

Université Paris Dauphine-PSL

Centre National de la Recherche Scientifique

Université de Sherbrooke

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Visibility Detection in Foggy Environment

Răzvan-Cătălin Miclea Ioan Silea

The latest researches in Automotive field concentrate on increasing the security and safety of the passengers. The automotive companies invest a lot in testing their products before delivery, that is why the cars are very safety from this point of view. Most of the accidents nowadays happen because of the driver, caused by bad visibility, hurry or inattention. In this paper, a system of detecting visibility in foggy environment was developed which gives the driver a feedback on the visibility distance and an advice to adapt the speed at a value at which the car can be stopped in safety conditions if an obstacle appears on the road. The system can be used on the highways and after some measurements a feedback is displayed on the display panels from the highway or sent on driver's smart-phones.

Visibility

10.1109/cscs.2015.56

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Citations (17)

LoRa® based multi-sensor system for heavy-duty vehicle detection in restricted areas

ITM Web of Conferences (2019)

Florin-Daniel Sandru Ioan Silea Răzvan-Cătălin Miclea

This paper focuses on the design and implementation of a low cost and low energy consumption system for detecting the access of heavy duty vehicle in restricted areas. Rather than the more common approach of using image acquisition through traffic cameras, the system uses the sound and vibrations generated by the operation of heavy duty vehicles. This approach can be especially useful in areas where the implementation of a conventional traffic monitoring system is extremely cost ineffective due to the lack of an appropriate network infrastructure, LoRa® modulation offers great advantages incomparison to other methods regarding the range and power consumption needed for maintaining the communication between the sensors and the back-end infrastructure. Based on the information offered by the vibration and sound sensors a prediction about the presence of a heavy-duty vehicle can be made,the configuration option of the detection thresholds for the measured information allows a fine tuning of the algorithm. Identification of the incident location is done via a unique identifier of the acquisition system present in a database, entry done at installation, to avoid the integration of a GPS receiver. Alerts are displayed on a map upon identification for further measures.

Identification

Heavy duty

Ranging

10.1051/itmconf/20192903005

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Citations (1)

Laser and LIDAR in a System for Visibility Distance Estimation in Fog Conditions

Sensors (2020)

Răzvan-Cătălin Miclea Ciprian Dughir Florin Alexa Florin Sandru Ioan Silea

Visibility is a critical factor for transportation, even if we refer to air, water, or ground transportation. The biggest trend in the automotive industry is autonomous driving, the number of autonomous vehicles will increase exponentially, prompting changes in the industry and user segment. Unfortunately, these vehicles still have some drawbacks and one, always in attention and topical, will be treated in this paper-visibility distance issue in bad weather conditions, particularly in fog. The way and the speed with which vehicles will determine objects, obstacles, pedestrians, or traffic signs, especially in bad visibility, will determine how the vehicle will behave. In this paper, a new experimental set up is featured, for analyzing the effect of the fog when the laser and LIDAR (Light Detection And Ranging) radiation are used in visibility distance estimation on public roads. While using our experimental set up, in the laboratory, the information offered by these measurement systems (laser and LIDAR) are evaluated and compared with results offered by human observers in the same fog conditions. The goal is to validate and unitarily apply the results regarding visibility distance, based on information arrives from different systems that are able to estimate this parameter (in foggy weather conditions). Finally, will be notifying the drivers in case of unexpected situations. It is a combination of stationary and of moving systems. The stationary system will be installed on highways or express roads in areas prone to fog, while the moving systems are, or can be, directly installed on the vehicles (autonomous but also non-autonomous).

Visibility

Ranging

Retroreflector

10.3390/s20216322

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Citations (21)

Visibility Enhancement and Fog Detection: Solutions Presented in Recent Scientific Papers with Potential for Application to Mobile Systems

Sensors (2021)

Răzvan-Cătălin Miclea Vlad-Ilie Ungureanu Florin-Daniel Sandru Ioan Silea

In mobile systems, fog, rain, snow, haze, and sun glare are natural phenomena that can be very dangerous for drivers. In addition to the visibility problem, the driver must face also the choice of speed while driving. The main effects of fog are a decrease in contrast and a fade of color. Rain and snow cause also high perturbation for the driver while glare caused by the sun or by other traffic participants can be very dangerous even for a short period. In the field of autonomous vehicles, visibility is of the utmost importance. To solve this problem, different researchers have approached and offered varied solutions and methods. It is useful to focus on what has been presented in the scientific literature over the past ten years relative to these concerns. This synthesis and technological evolution in the field of sensors, in the field of communications, in data processing, can be the basis of new possibilities for approaching the problems. This paper summarizes the methods and systems found and considered relevant, which estimate or even improve visibility in adverse weather conditions. Searching in the scientific literature, in the last few years, for the preoccupations of the researchers for avoiding the problems of the mobile systems caused by the environmental factors, we found that the fog phenomenon is the most dangerous. Our focus is on the fog phenomenon, and here, we present published research about methods based on image processing, optical power measurement, systems of sensors, etc.

Visibility

Haze

Adverse weather

10.3390/s21103370

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Citations (28)

System for visibility distance estimation in fog conditions based on light sources and visual acuity

2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) (2016)

Ioan Silea Răzvan-Cătălin Miclea Florin Alexa

The latest researches, according to National Highway Traffic Safety Administration, reinforce the idea that most of the accidents are not caused by car failures, the driver behavior proved to be more harmful [13]. Driving too fast for the weather conditions can cause a catastrophe. In order to improve the driver's visibility the automotive companies developed headlights based on LED or Laser devices which increase the directivity, the power and the efficiency of the beam. In this paper we present some principles which can lead to the development of a system able to estimate the visibility distance in foggy weather conditions using the light scattering property. In case of bad weather conditions, the system has to notify the drivers and to recommend a speed which ensures traffic safety. To be sure that the visibility estimation is really valid for a human being we tested the human visual system in different fog conditions using an eye chart. Measuring the visual acuity we realized a link between human and automated visibility.

Visibility

10.1109/aqtr.2016.7501323

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Citations (6)

Automatic Mapping of a Room Using LIDAR-Based Measuring Sensor

Vlad-Ilie Ungureanu Bianca-Alexandra Trutiu Ioan Silea Paul Negȋrla Cristian G. Zimbru

The intense growth in the mobile robotics market is leading to a demand for low cost solutions concerning the robotics navigation and mapping. This paper presents a complex system made for mapping closed spaces like rooms. The entire process of developing such a system will be described, starting with the hardware parts, continuing with the algorithms that were used and finally, the actual results that were achieved. The complexity of the project consists in the fact that a large variety of knowledge from different domains was used such as: embedded systems, robotics, principles, techniques and measuring devices, data communication, cloud computing, database principles and so on. The paper will describe the usage of the distance measurement sensor, Scanse Sweep, which is using the LIDAR (light detection and ranging) technique in order to collect data which will be analysed by a software application that is running on a PC. The paper also presents features like the usage of mobile phones, usage of Cloud for data saving and manipulation, algorithms that ensure the autonomy of the robot and algorithms used for achieving a full scan of a room making as fewer moves as possible.

10.1109/cscs.2019.00123

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Citations (0)

A Novel Approach against Sun Glare to Enhance Driver Safety

Applied Sciences (2020)

Vlad-Ilie Ungureanu Răzvan-Cătălin Miclea Adrian Korodi Ioan Silea

The automotive industry is developing continuously, trying to improve, among others, the safety of drivers, passengers, and pedestrians. Using modern technology, the dangers caused by weather hazards like rain, snow, fog, or glare were identified and reduced. This paper presents an anti-glare solution using existing technologies that can be found already in a high-end car like the driver’s eyes tracking systems, light intensity sensors, or head-up displays. In addition to the existing elements, a sun tracking sensor is required to detect the point where the sun light has the maximum intensity on the windshield surface. Knowing the driver’s position and the point on the windshield where the sunlight has a high intensity, a dark spot can be created on the windshield in order to reduce the discomfort created by glare. Depending on the intensity of the light and taking into consideration the traffic safety laws, the spot’s transparency can vary between certain limits. Therefore, the dangers caused by glare will be diminished and the risks of not observing pedestrians, other traffic participants, traffic signs, or sudden curves will be considerably lower. Another advantage of using a digital sunshade based on smart glass or in-glass transparent displays, instead of a regular sunshade, is that the whole windshield can be protected against glare not just the top of it. The results were verified and highlighted using computer simulations done via a MATLAB environment.

Windshield

GLARE

10.3390/app10093032

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Citations (10)

Digital Sunshade Using Head-up Display

Advances in intelligent systems and computing (2017)

Răzvan-Cătălin Miclea Ioan Silea Florin Sandru

Windshield

Visibility

GLARE

Head-up display

Road surface

10.1007/978-3-319-62521-8_1

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Citations (3)

Kalman and Butterworth filtering for GNSS/INS data

Florin-Daniel Sandru Sorin Nanu Ioan Silea Răzvan-Cătălin Miclea

Even though satellite based navigation systems were initially intended only for military purposes their usefulness in the commercial sector was soon enough realized. Air travel, marine navigation, car navigations, topography are only a few examples of fields in which systems like the GPS or the GLONNAS have found a solid application ground. One of the main problems that end users face with the usage of such systems is their precision or their accuracy, often the economic factors force the manufacturers of such solutions to choose the cheaper alternative in terms of hardware and therefore the indicated position may wary form the real one. In systems were other means of measuring inertial related data are present the precision of such hardware solutions may be improved using mathematical algorithms, this being the main focus of this paper.

Position (finance)

10.1109/isetc.2016.7781106

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Citations (3)