Planning Motion Manoeuvres for Intelligent Vehicles
Intelligent Transportation Systems (ITS) is a trending topic of major interest for automotive industry. Most of worldwide automotive companies are currently recruiting skilled engineers to join teams, which are working on the driver-less car direction. They are carrying out research and development on all levels, from actuators, sensors and electronics to computing algorithms to improve vehicle perception and manoeuvring.
Mobile Robotics group at IRI is collaborating with international partners in two projects focusing ITS and driver-less vehicles. IRI contributes with its expertise on the field of mobile robotics, including sensing, perception, navigation, planning and testing.
This Master Thesis proposal will focus the problem of planning motion manoeuvres of groups of cars where the head vehicle may be manned, but the followers aren't. Such group manoeuvres include crossings and merging between two groups.
The work carried out by the student will implement a motion planning algorithm for a group of cars on such situations of merging and crossing.This implies a first step studying the planning fundamentals, and reviewing the current state of the art on that topic. Afterwards, a mathematical model will be developed to optimize aspects such as energy, time and/or safety. This model will be finally implemented as a C++ library, and tested in simulation or with real vehicles depending on the success of the results.
Desired skills to apply to this proposal are:
- Algebra and Calculus, and comfortable to work with maths.
- C++ programming.
- Robotic Operation System (ROS).
- Working autonomy, but also team working skills.