3D Point Cloud Map Cleaning - Internship Toulouse (F/M)

EasyMile SAS; Toulouse; Hybride; EUR 10 000 - 12 000; Temps partiel

Avantages offerts par ce poste

1000€ gross

Tickets restaurant

CSE

Résumé du poste

EasyMile SAS is offering an internship in Toulouse focused on data classification for accumulated LiDAR PointCloud. The role sits within the Tools / Perception teams and aims to develop an intelligent, interactive tool to clean 3D point cloud maps by removing dynamic elements.

You will work on 3D perception, point-cloud processing, and software development with supervision from a tutor. Strong Python/C++ OOP, Deep Learning knowledge, and bilingual English/French skills are desired.

Qualifications

• Student in computer science
• Familiar with Python or C++ programming
• Knowledge of Deep Learning concepts beneficial
• English and French language skills

Responsabilités

• Investigate existing 3D perception approaches (semantic segmentation, object detection, classification) and select components relevant to the use case
• Combine perception components into an effective pipeline and integrate into internal 3D visualization software
• Visualize and use results in visualization software for point cloud cleaning

Connaissances

OOP (Python/C++)

Deep Learning

UI/UX basics

Description du poste

Internship details

• Duration: 6 months
• Start date: March-April 2027 (flexible)
• Location: Toulouse
• Team: Tools / Perception
• Internship subject: Data classification on accumulated LiDAR PointCloud
• Compensation: 1000€ gross, tickets restaurant, CSE

Internship Context

EasyMile is advancing Level 4 autonomous driving technology, enabling vehicles to operate fully driverless in defined environments. To navigate and localize safely, our vehicles rely on onboard sensors such as LiDARs, radars and cameras.

Static dense 3D point cloud maps, built by accumulating LiDAR measurements along the vehicle’s trajectory, are used as a reference for vehicle localization. However, these maps may contain vehicles, vegetation and other objects that can move or change over time, reducing their quality and reliability.

In the Perception Team, we use several techniques to analyze this dense environment.

In the Tools Team, we develop tools to visualize and manage the data required by our autonomous vehicles.

This internship focuses on creating an intelligent and interactive tool to efficiently clean 3D point cloud maps by detecting and removing dynamic or potentially changing elements.

You will interact with both teams around various themes : 3D perception, point-cloud processing, software development ...

Missions / Responsabilities

Under the supervision of his tutor, the intern will be involved in:

• investigating existing 3D perception approaches, such as semantic segmentation, object detection or classification, and select the most relevant components for our use case
• combining these perception components into an effective pipeline and integrate it into our internal 3D visualization software
• Visualizing and using the results in the visualization software for point cloud cleaning

There is no typical profile at EasyMile, we all come from different backgrounds and that is what makes us strong! We are looking for:Student in computer scienceSkills: Object-oriented programming (Python/ C++), Deep Learning, notions in UI/UXSoft skills: Team spirit, autonomy, and curiosityLanguage skills : English and French