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Advanced Radar Sensor Front-end Modules and Solutions for Increased Road Safety

Reference number
Coordinator Chalmers Tekniska Högskola AB - Chalmers Tekniska Högskola Inst f Elektroteknik
Funding from Vinnova SEK 14 506 582
Project duration August 2024 - July 2027
Status Ongoing
Venture Safe automated driving – FFI
Call Traffic-safe automation - FFI - spring 2024

Purpose and goal

The project is related to traffic safety. The proposed project will develop polarimetric radars and high-resolution radar sensors which will drastically improve the object detection and object tracking capabilities of the radar sensors, thereby ensuring early manoeuvring of autonomous vehicles in case of possible collision. Also, the polarimetric configuration of the developed radars will allow high probability detection and classification of large objects as well as vulnerable road users (VRUs) such as motorcycles, cyclists, etc. in challenging traffic environment.

Expected effects and result

Road accidents are one of the major causes of death even in developed countries. Innovative radar sensor sets, and vehicle perception units capable of providing accurate driving environment information in all-weather condition can play a key role here and reduce road accidents significantly. The proposed project aims to develop concrete technology enablers for future autonomous cars with improved active radar sensors at 77GHz and perception systems, which will lead towards a sustainable transportation.

Planned approach and implementation

We aim to develop gap waveguide based fully polarimetric as well has high resolution imaging automotive radars with dual linear polarized (LP) signal or dual circular polarized (CP) signals or combined linear-circular polarized signal. Hence, in this project we aim to use interference mitigation and multi-path suppression in analog domain by using CP antenna array. Also, we will exploit the full potential of the radar data in terms of its localization capability for the task of bird eye view (BEV) and 3D object detection which are arguably more relevant in automotive applications.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 4 September 2024

Reference number 2024-00821