Path planning for autonomous car

Expires
Education level
Started bachelor/master (1.-3. yr)
Started master (4.-5. yr)
Completed Bachelors degree
Field of study
Computer Science and Information Technology
Electrical Engineering
Mathematics, Physics, and Nanotechnology
Type
Master's thesis
Bachelor's thesis
Other assignments / unpaid work
Work place
NTNU Gløshaugen
Responsibilities
Analytics, Computing and Reporting
Research and Development (R&D)
Technology- and Product development
County
Trondheim
Info on how to apply
Let us know by email if you are interested and want to know more
E-mail for application
leder@fuelfighter.no

DNV GL Fuel Fighter is a voluntary technical student organisation at NTNU working with the goal of making the worlds most energy efficient car to compete in the Shell Eco Marathon.

But that is not our only goal, we also want to make the car autonomous. The autonomous project has been going on for two years, and we believe the competition in 2021 is a realistic goal.

The purpose of this task is to implement path planning algorithm(s) to make the car complete the challenges set by shell to win the autonomous competition. You will be a part of the autonomous group, but also work closely with a lot of other motivated students from different fields of study. The car used for the autonomous competition is the same as for the efficiency competition. Making it an efficient autonomus car by optimizing the path planning algorithm(s) is therefore a plus. 

 

Read more about the autonomous challenges in Shell Eco Marathon Autonomous:

https://www.fuelfighter.no/#/thesis/description?id=1