Molaei, Babak (2025) Rectifying the Implementation Challenges of a Novel Detection Architecture Aiming to Achieve 360° View for FMCW Automotive Radar. PhD thesis, Concordia University.
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23MBMolaei_PhD_S2025.pdf - Accepted Version Restricted to Repository staff only until 16 May 2027. Available under License Spectrum Terms of Access. |
Abstract
Over the past couple of years, drive assisting and autonomous self-driving technologies have always been among the most highly focused topics in academia and industry. In simple words, these technologies are all about highly accurate tracking and sensing the surrounding area up to a certain distance to create a near to real-time 3D/4D view for moving vehicles or objects to be used for different purposes such as self-navigation, safety assurance, collision avoidance, lane keep/change assist, Overspeed/under speed control and others.
Although this crucial technology seems already in good standing, more in-depth research into the details states otherwise. Due to the current high cost of these mainly optional modules, most people cannot afford them. This is because car manufacturers employ many single-purpose detection RADARs and sensors, each designed for one specific task.
It is pragmatic to combine these features and functionalities into a single custom-designed 360° radar at a much lower affordable price. Th
| Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering |
|---|---|
| Item Type: | Thesis (PhD) |
| Authors: | Molaei, Babak |
| Institution: | Concordia University |
| Degree Name: | Ph. D. |
| Program: | Electrical and Computer Engineering |
| Date: | 16 May 2025 |
| Thesis Supervisor(s): | Cai, Jun |
| ID Code: | 995620 |
| Deposited By: | Babak Molaei |
| Deposited On: | 04 Nov 2025 16:13 |
| Last Modified: | 04 Nov 2025 16:13 |
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