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Introduction. Automotive radars are the main tools for providing traffic safety. The development of such radars involve a number of technical difficulties due to the manufacture of high-precision extremely high-frequency (EHF) printed circuit boards. To facilitate the process of creating such devices, the existing algorithms for radar information processing should be debugged using prototypes from manufacturers of mm-band transceivers. However, the parameters of such boards are not known in advance, and the actual operating conditions of the as-produced automotive radars raise new challenges to target tracking algorithms. Therefore, checking the performance of such boards is a relevant research problem.Aim. To evaluate the performance of a millimeter-wave automotive radar prototype and to test target tracking algorithms using this prototype.Materials and methods. An original target tracking method was used, which considers the constraints on the use of additional data sources about the radar carrier movement.Results. An experimental performance evaluation of a 77 GHz automotive radar prototype was carried out. The effectiveness of primary processing for the target class “vehicle” in the millimetre range was checked. Original algorithms for target tracking were proposed and tested.Conclusion. The obtained results show that the prototype board of a transceiver chip is capable of testing tracking algorithms without creating an own automotive radar prototype. Thus, the developmental process can be significantly shortened. Moreover, after creating a hardware solution, the developer obtains a reference device to test and configure an own product without using extremely expensive and rare EHF equipment.

The search for ways to solve the problem of transferring control to the driver in highly automated vehicles involves the development of new methods and adaptation of the known ones for this purpose. The development of the method of monitoring the perception of semantically binary relevant information by the driver implies the identification of sources of significant information and classification of relevant information for drivers coming from ADAS, ITS and the dashboard. Determination of the driver’s temporal response to the incoming relevant information and its subsequent analysis will allow in real time, during the execution of the algorithms of the activity on the management of the highly automated vehicle, without using the additional equipment, to monitor and update the particular driver’s database containing quantitative values that characterize a number of its professionally important qualities, in automatic mode, with the use of cloud servers. The obtained results are focused on the solution of the problem of control transfer to the driver in highly automated vehicles, when the vehicle’s onboard systems cannot support further “unmanned” mode of control and the vehicle is not within a specific operational design domain.

Introduction. A hardware basis of modern Advanced Driver Assistance Systems (ADAS) consists of millimeterrange radars, characterized by a relatively short range (meters – tens of meters). At the same time, improving of traffic safety requires to increase the range at least to several hundred meters. The one way to achieve such values is to increase wavelength of a probing signal, to use the centimeter range of wavelengths, for example. The paper represents a detailed description of main steps of signal processing algorithm in the model of the ADAS low-power centimeter range radar, which provides fast-moving objects speed and range definition.Aim. Development of an algorithm for estimating the range and the speed of targets by an autocorrelation radar with a wide-band continuous linear frequency modulation (linear FM) signal in order to increase the rate of the ADAS system estimates formation.Materials and methods. The proposed algorithm is based on the methods of primary and secondary digital processing of radar signals. The model of a centimeter-range autocorrelation radar with a broadband continuous linear FM probing signal was used for practical researches. MATLAB software was used to process the received signal samples.Results. The algorithm has been developed to determine the speed and the range of fast-moving objects in conditions when their movement during the evaluation interval significantly exceeds the radar range resolution. The use of simplified Kalman filtering for inter-period secondary signal processing allowed to increase significantly the stability of the algorithm. In a full-scale experiment using the low-power radar model with continuous radiation of the centimeter range, it was shown that a stable assessment of a real car speed and range was provided at a distance of at least about one kilometer.Conclusion. The results of the field experiment make it possible to draw conclusions that the proposed algorithm is highly robust even in the absence of inter-period secondary processing. Its usage allows one to improve the stability of the algorithm without considerable additional computational costs. It is possible because near-linear dynamics of the observation object and of the radar carrier makes it sufficient to use a simplified implementation of Kalman filter in the form α-β-algorithm.

The global objective of this paper is to analyze engineering risk of series production in Automotive Industries based on problems caused by supplied chain of products when a strong process to avoid engineering risk problems is missing. Automotive Industries Companies in Romania use just some theoretical tools like as D-FMEA (Design – Failure Mode and Effect Analysis) for engineering risk in their design products in ADAS domein. The main causes appear after the production starts and sometimes it brings the production to a halt. The risks reveal details of different levels and high risk can be caused by unforeseen challenges during of series production. On this paper, the method for engineering risk of management used is based on project management guide by Paul Roberts adapted to causes identification and risk plan.

Subject of Research.The paper deals with findings and presents asmartphone-based approach to advanced driver assistance system (ADAS) research and development.The approach is based on the data of smartphone cameras and sensors. The line of researchis associated with the developmentof mobile advanced driver assistance system (ADAS). Method.The proposedapproach isbased on the use of driver'sand vehicle behavior ontologies. Current ADAS systems can be divided into two main categories according to the method of implementation: mobile applications, manually installed by the driver from the application stores, and safetyhardware and softwaresystems,integrated into vehicles by manufacturesor in the automotive service centers.Mobile application installed on the smartphone uses the built-in rear and front-facing cameras and sensors to monitor both the road and vehicles ahead, and at the same time the driver in order to prevent traffic collisions. The service consists of components for objects recognition in the images obtained with cameras, and components for traffic situation analysis. Main Results. The driver safety mobile application has been developedfor the use on mobile phones.The mobile phone is mounted on the windshield of a car.In case of dangerous event occurrence, the application engine will make an audible or vibration signal to inform the driver to be concentratedand more vigilant. For example, road obstacles, rear-end and stationary vehicle accidents are the most common accident types.The mobile application detects whether a crash is imminent by computing the ‘Time To Contact’ (TTC) taking into account host vehicle speed, relative speed and relative acceleration.If the driver doesn’t maintain safe minimum distance with the car immediately ahead, the mobile application will alert the driver by displaying an attention icon with an audible alert. The dual-camera sensing application is designed to help the drivers increase the trip safety and assess and improve theirdriving skills. Practical Relevance.The proposed approach is designed to help the driver in the driving process, anticipate hazards and provide the driver with appropriate messages through his/her mobile phone.