Master’s Thesis: 3D Scene Reconstruction and Real-Time Vehicle Awareness using LiDAR from a mobile phone

23.03.2026, Diplomarbeiten, Bachelor- und Masterarbeiten

Scene reconstruction and awareness of the environment are crucial in the fields of robotics, augmented reality (AR), mapping, and autonomous driving. With the integration of LiDAR sensors in smartphones, e.g., iPhone 12 Pro and later, 3D scanning is now possible without any expensive hardware. Furthermore, laser scanners can gather 3D information. This information is used to capture 3D point clouds to reconstruct a scene.

Scene reconstruction and awareness of the environment are crucial in the fields of robotics, augmented reality (AR), mapping, and autonomous driving. With the integration of LiDAR sensors in smartphones, e.g., iPhone 12 Pro and later, 3D scanning is now possible without any expensive hardware. Furthermore, laser scanners can gather 3D information. This information is used to capture 3D point clouds to reconstruct a scene.

This research focuses on two key applications of mobile LiDAR:

Scene Reconstruction – Capturing 3D point clouds to create accurate 2D and 3D visualization of the scene.
Surrounding Awareness in Vehicles – Using LiDAR depth data, detect nearby vehicles and obstacles to improve driver assistance and autonomous systems.

Your goal is to acquire 3D point clouds and information about surrounding vehicles in the scene with respect to the ego-vehicle using LiDAR present in the iPhone. Then, the scene will be reconstructed, and vehicle awareness will be programmed.

This thesis is of 6 months duration.

If you are interested, please send an email to the given contact address with your CV and grade report.

Kontakt: tim.schreiter@tum.de

More Information

https://www.ce.cit.tum.de/pins/open-positions/student-positions/