PXL Smart-ICT: Micromobility- Autonomous Driving

--Hogeschool PXL - Smart ICT--

Ontmoet ons online op 12/11

Onderstaand vind je de verschillende tijdstippen en links waarop je ons online kan ontmoeten.

deelname is mogelijk na het invullen van je sollicitatie.

12u30 - 13u30Teams meeting 1
16u00 - 17u30Teams meeting 2
18u30 - 21u00

Teams meeting 3

Korte samenvatting van de stageopdracht:  

The AI & Robotics Lab is conducting research to create a prototype solution for the problem of micromobility. This prototype involves an autonomous golf cart that can find its way around the Corda Campus.

Previous research and development resulted in a monitoring tool to analyze sensory input in real-time and enables us to record the data that is retrieved. Furthermore, trained AI-models can be run in shadow mode in the tool, so AI decisions can be analyzed on the go.

During this internship for 2 students, you will develop and train a working, self-driving model that can navigate to fixed points on Corda Campus. You will closely cooperate with each other and Electronics colleagues, who will provide support concerning the hardware.

While searching for the optimal way to realize autonomous driving in this context, you will extend the existing framework with features that are needed for your use case.

Korte samenvatting van de onderzoeksopdracht:  

As you’ve noticed, the whole internship is research-based, as you will be working with relatively new concepts and technologies. We will add a specific research subject for each student, which he/she will investigate individually.

Junior-colleague 1

You will investigate how to use GPS coordinates of the golf cart and the destination to create a global navigation plan for each navigation session. In other words, you will be tasked to search for an optimal path planning solution in our specific context.

Junior-colleague 2

You will investigate how the cart will behave when it encounters unexpected objects like pedestrians, road works, … Firstly, you will look for ways to detect these objects, and secondly, you will search for a way to avoid the obstacles in a safe manner. In other words, you will be tasked with the cart’s object avoidance.

Deze stageopdracht is geschikt voor studenten uit de richting:

Bachelor Toegepaste Informatica - Applicatie-ontwikkeling (Keuzetraject AI & Robotics)
Bachelor Toegepaste Informatica - Applicatie-ontwikkeling (Keuzetraject Full Stack Development)

Verdere omschrijving van technische omgeving

The existing framework consists of several ROS nodes that exchange information about sensors, cameras, recordings and AI decisions. The code is mainly written in Python. The monitor frontend is web-based, but will not require lots of extra work during this internship.

Your sole focus is making the cart drive autonomously. This means:

  • Determine a global path (path planning)

  • Keep it on the road

  • Control the speed

  • Make sure it stops in dangerous situations

  • When possible, avoid unknown objects at a safe speed

You will work together to accomplish this, we will discuss the exact distribution of the different tasks.

Randvoorwaarden (rijbewijs, Engels, voorkennis, …)

ROS knowledge is required, so no time is lost at the start of the internship. Knowledge about autonomous driving is a pro.

Driving the golf cart requires a driver’s license (B).

Thesis can be written in English, but this is not an absolute requirement, Dutch is an option as well.

Inleidende activiteiten/verwachtingen
 Vergoeding/tegemoetkoming in verplaatsingskosten


Locatie stage




PXL Smart-ICT: Micromobility- Autonomous Driving.pdf