The purpose of this thesis is to explore methods of furthering the utility of the stereo camera system used in the current vehicle,  either as a fusion of Lidar and camera, or as a pure stereo camera configuration.

The goal of the assignment is to explore and implement frameworks for processing of raw sensory data (Lidar, camera, INS) for localization and mapping of an autonomous race car.
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The goal of the assignment is to integrate the software from two real-time systems, the Vehicle control unit(VCU) and the Inverter control card(ICC) to a single system. The systems have previously been running on two different PCBs with different single core microcontrollers, communicating over CAN-FD. This year the two systems will be on a single PCB with a multiple cores. Asymmetric multi processing(AMP) will be an important concept here.

The software for each of the systems exists and are proved working, thus the student should look into previous work done by people in the organization and evaluate how much must be changed in order to execute the integration. The software is primarily in C, but parts of the systems are developed in Matlab/Simulink before C-code is generated, so the student will have to gain knowledge on this area as well. Additionally, Matlab generated VHDL code for the FPGA will be used for the system. It is also possible that completely new designs are appropriate.

Formula Student is the world’s biggest engineering competition for students. Here students from around the world make electrical Formula cars and compete against each other.
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The go-to concept for the motor placement in Formula Student, is one in each wheel. However, a major difficulty with this the limited design space; one must fit components like motor, gears, upright, brake system ect. inside tiers usually warrying from 13’’ to 10’’.
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The student will evaluate different concepts for the in-wheel design. To achieve the optimal solution different manufacturing methods will have to be looked into as well as different design approaches.

The goal of this assignment is to develop a QSS/Transient vehicle simulator with the aim to quantitatively correlate lap time and vehicle performance improvements.