1.Vision and Radar Sensor Fusion for Advanced Driver Assistance Systems:
The World Health Organization predicts that by the year 2030, road traffic injuries will be one of the top five leading causes of death. Many of these deaths and injuries can be prevented by driving cars properly equipped with state-of-the-art safety and driver assistance systems. Some examples are auto-brake and auto-collision avoidance which are becoming more and more popular on the market today. A recent study by a Swedish insurance company has shown that on roads with speeds up to 50 km/h an auto-brake system can reduce personal injuries by up to 64 percent. In fact, in an estimated 40 percent of crashes, the auto-brake reduced the effects to the degree that no personal injury was sustained. It is imperative that these so-called Advanced Driver Assistance Systems, to be really effective, have good situational awareness. It is important that they have adequate information of the vehicle’s immediate surroundings. Where are other cars, pedestrians or motorcycles relative to our own vehicle? How fast are they driving and in which lane? How is our own vehicle driving? Are there objects in the way of our own vehicle’s intended path? These and many more questions can be answered by a properly designed system for situational awareness.
In this thesis we design and evaluate, both quantitatively and qualitatively, sensor fusion algorithms for multi-target tracking. We use a combination of camera and radar information to perform fusion and find relevant objects in a cluttered environment. The combination of these two sensors is very interesting because of their complementary attributes. The radar system has high range resolution but poor bearing resolution. The camera system on the other hand has a very high bearing resolution. This is very promising, with the potential to substantially increase the accuracy of the tracking system compared to just using one of the two. We have also designed algorithms for path prediction and a first threat awareness logic which are both qualifiedly evaluated.
Project: Automobile Projects, MATLAB Projects, Sensor Projects, Signal Processing Projects
2.Performance Analysis of Ipv4 / Ipv6 Protocols Over the Third Generation Mobile Network:
Currently, the IPv4 protocol is heavily used by institutions, companies and individuals, but every day there is a higher number of devices connected to the network such as home appliances, mobile phones or tablets. Each machine or device needs to have its own IP address to communicate with other machines connected to Internet. This implies the need for multiple IP addresses for a single user and the current protocol begins to show some deficiencies due to IPv4 address space exhaustion. Therefore, for several years experts have been working on an IP protocol update: the IPv6 128-bit version can address up to about 340 quadrillion system devices concurrently. With IPv6, today, every person on the planet could have millions of devices simultaneously connected to the Internet. The choice of the IP protocol version affects the performance of the UMTS mobile network and the browsers as well. The aim of the project is to measure how the IPv6 protocol performs compared to the previous IPv4 protocol. It is expected that the IPv6 protocol generates a smaller amount of signaling and less time is required to fully load a web page. We have analyzed some KPIs (IP data, signaling, web load time and battery) in lab environment using Smartphones, to observe the behavior of both, the network and the device. The main conclusion of the thesis is that IPv6 really behaves as expected and generates savings in signaling, although the IP data generated is larger due to the size of the headers. However, there is still much work as only the most important webpages and the applications with a high level of market penetration operate well over the IPv6 protocol.
Project: Signal Processing Projects, Telecommunications Projects
3.Fiber-to-Fiber Optical Switching Based on Gigantic Bloch-Surface-Wave-Induced Goo’s–Hanc hen Shifts:
Fiber-to-fiber on-off optical switching based on the gigantic Goo’s-Hanc hen (GH) shift on an optical beam induced by the Bloch surface wave is experimentally demonstrated for the first time.

Through changing the refractive index of the cladding covering a truncated 1-D photonic crystal, the enhanced GH shift can be toggled dynamically from zero to submillimeter range. By using the finite coupling aperture of the fiber and selecting an optimized pass region of the beam to the output fiber, high extinction ratio can be achieved with reasonable insertion loss.

It is also demonstrated that a refractive index changes of <; 2*10-3 is sufficient to realize the switching, which opens the way to realize faster and more compact integrated GH switches. With the development of the optical communication technologies at an astounding pace in the past half of century, being dynamic and reconfigurable has become one of the essential features of current optical fiber networks.
Project: IEEE Electronics Projects, Power Electronics Projects, Signal Processing Projects, Telecommunications Projects
4.Robust Torque Control for Automated Gear Shifting in Heavy Duty Vehicles:
In an automated manual transmission, it is desired to have zero torque in the transmission when disengaging a gear. This minimizes the oscillations in the driveline which increases the comfort and makes the speed synchronization easier. The automated manual transmission system in a Scania truck, called Opti cruise, uses engine torque control to achieve zero torque in the transmission. In this thesis different control strategies for engine torque control are proposed in order to minimize the oscillations in the driveline and increase the comfort during a gear shift. A model of the driveline is developed in order to evaluate the control strategies. The main focus was to develop controllers that are easy to implement and that are robust enough to be used in different driveline configurations. This means that model dependent control strategies are not considered.

A control strategy with a combination of a feedback from the speed difference between the output shaft speed and the wheel speed, and a feed-forward with a linear ramp, showed very good performance in both simulations and tests in trucks. The amplitude of the oscillations in the output shaft speed after neutral engagement are halved compared to the results from the existing method in Scania trucks. The new concept is also more robust against initial conditions and time delay estimations.
Project: Signal Processing Projects

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