Claudia Rapisardi
Design of a data aggregation circuit for Autonomous Driving LiDAR sensors.
Rel. Luciano Lavagno, Carlo Oppedisano, Sebastiano Cicciarella. Politecnico di Torino, Master of science program in Electronic Engineering, 2021
|
Preview |
PDF (Tesi_di_laurea)
- Thesis
Licence: Creative Commons Attribution Non-commercial No Derivatives. Download (16MB) | Preview |
Abstract
The automotive industry is facing an unprecedented era of change, revolutionizing the entire human driving experience, making it safer and more comfortable. The growth of Advanced Driver Assistance Systems (ADAS) is enabled by the data fusion collected from several types of sensors (camera, radar, ultrasonic). The gap between today’s ADAS and its higher levels can be filled with the introduction of LiDAR sensors. Light Detection and Ranging technology creates a 3D rich point cloud of the surrounding environment by using laser beams and time-of-flight distance measurement, allowing accurate real time objects detection, even at long distances and poor light or weather conditions when cameras lose their reliability.
To cover the field of view required for ADAS functionalities from Level 3 and up, a LiDAR platform needs at least three optoelectronic modules (each equipped with a laser transmitter and a laser receiver) sending MIPI CSI-2 raw data streams to the CPU, which must process them to create a rich point cloud, decisive element for the autonomous driving strategy
Relators
Academic year
Publication type
Number of Pages
Course of studies
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modify record (reserved for operators) |
