Analysis of EM wave scattering from asphalt and its application to automotive radar

The driver’s safety is one of the problems that is considered by modern vehicle technologies. Many accidents occur due to extreme weather conditions, such as snow or freezing rain. Such weather causes decreases in the friction of the road surface, which cause danger for drivers in this kind of area. To improve the driver’s safety, ADAS (Advanced...

Automotive FMCW radar interference analysis for different scenarios

The increasing use of automotive radars on roads has led to a significant issue of mutual interference between them. To better understand the characteristics and impact of this interference, it is necessary to perform analytical investigations of FMCW radar-to-radar interference. This thesis presents analytical models for FMCW-to-FMCW mutual...

3-D Target Classification in Short Range Radar Applications

Over the years in the automotive industry, the use of radar sensors in advanced driver assistant systems (ADAS) has been increasing, shining a light on various safety and security concerns to be dealt, that come along with it. The performances of existing sensor technologies such as camera, LIDAR and GPS can be very well complemented by the use...

People Counting Using Low-cost FMCW MIMO Radar: Achieving Tracking for Counting and Classification of Groups of People using FMCW Radar

For the development of automatic People Counting systems, radar is increasingly becoming a popular technology because of the increasingly stringent privacy requirements for people demographic information and the requirement to operate in a challenging environment. Because of the complexity of multi-target movement and the diversity of...

Board Level Vibration Testing and Qualification for Automotive Application

Revolutionary changes in automotive industry toward fully connected electrical vehicles is changing the world of Board Level Reliability (BLR) Vibration Testing. It is taking BLR Vibration tests beyond board level to board module application level.<br/>In this thesis, it contains the development of a reliability test concept called Board Module...

Design and analysis of sparse MIMO Array and sparse recovery algorithms for super-resolution DOA estimation

The development of Smart Vehicles (SV) has increased the demand for secure and intelligent sensors. The automotive radar plays a massive role in improving the security of these vehicles. Radar needs to make fast and accurate detection in a noisy environment while being aware of its surroundings. The modern radar systems deployed on the SVs...

Fusion of radar data from multiple MIMO systems to achieve higher angular resolution

In today's automotive applications, radar is widely used to estimate the target position and velocity with respect to the radar position. Estimating the position of the target in terms of range and velocity is fairly advanced and accurate. However, resolving two closely spaced targets in the azimuth domain which have the same range and relative...

Approximately Optimal Radar Resource Allocation: Joint Radar Communication for Automotive Applications

Due to the rising number of wireless device users, it is expected that there will be a scarcity in the spectrum. The will especially true for the Automotive Spectrum between 77 and 81 GHz. In this thesis, we apply Sensor Management to the Joint Radar Communication scenario. We develop an algorithm that can allocate resources to both sensing and...

A Novel Approach to Vehicle Pose Estimation Using Automotive Radar

The accurate estimation of the pose, i.e. position and heading, of a vehicle while driving is of high importance in autonomous driving applications. Right now the main tool to estimate the location of a vehicle is its GPS sensor. However, GPS data is known to be of very low accuracy, especially in urban environments, and is thus not ideal for...

Automotive Radar Self-Diagnostic Using Calibration Targets that are Embedded in Road Infrastructure

In order to ensure safety and prevent collisions on road, automotive radars must be fault proof and have to be tested on reliability and performance, which requires proper diagnostic of well-functioning of the radar so that the car may participate to traffic. One way of the diagnostic of well-functioning of the automotive radar is by means of...

An automotive MIMO radar calibration using targets of opportunity in different weather conditions

Automotive radar has an advantage over other sensors in that it is better at operating in bad weather conditions. To see the extent of the effect that adverse weather conditions might have on the statistics of the data a statistical analysis was performed on real measurement data. During heavy rain there is a shift that can be observed in the...

Low-level radar data based road user detection

In order to achieve redundancy and improve the robustness of an autonomous driving system, radar is a suitable choice for road user detection task in severe working conditions (e.g. darkness, bad weather). However, the real-time multi-class radar based road user detection algorithm is less explored compared with camera and LiDAR solutions. To...

Automotive RADAR: Real-time implementation of joint sensing and communication waveform on a microcontroller

The automotive radars are significantly drifting towards the 77GHz electromagnetic spectrum band, and by 2020, they will no longer operate in the 24GHz band as per the regulations given by the European Telecommunications Standards Institute (ETSI) and Federal Communications Commission (FCC) in Europe and the U.S. With the communication systems...

Design and analysis of non-uniform MIMO array for interference suppression and automotive applications

Automotive radars play a very important role in reduction of traffic accidents and casualties by making the vehicle fully self aware of its surroundings. For the vehicle to be fully self aware multiple sensors or radars have to placed in close proximity of each other on the body of the automobile. This will lead to interference between the...

Interference in 79 GHz Phase-Coded Automotive Radar

Automotive radars play a crucial role in the reduction of traffic casualties and the realization of autonomous driving due to its robustness and adverse weather tolerance. However, as the penetration rate of automotive radars increases, concerns arise regarding the mutual interference. In contrast to the predominant Frequency-Modulated...

Target localization using MIMO-monopulse: Application on 79 GHz FMCW automotive radar

Automotive radar is widely used for driving safety support and it is a key element of future autonomous vehicles. Radar sensors have the property that the performance is not to be affected by low vision conditions compared with camera sensors or laser based radar sensors, which makes it crucial for the autonomous driving system.<br/><br/...

Mm-Wave In-Package Antennas for Short-Range Car Radar Application