Object characterisation using radar signals
dc.contributor.author | Patel, Akash | |
dc.date.accessioned | 2025-07-04T10:33:42Z | |
dc.date.available | 2025-07-04T10:33:42Z | |
dc.date.issued | 2024-10-31 | |
dc.identifier.citation | Patel, A. (2024) 'Object Characterisation using Radar Signals'. MSc by Research thesis. University of Bedfordshire. | en_US |
dc.identifier.uri | http://hdl.handle.net/10547/626703 | |
dc.description | “A thesis submitted to the University of Bedfordshire, in partial fulfilment of the requirements for the degree of Masters by Research”. | en_US |
dc.description.abstract | With society slowly moving towards a future where autonomous vehicles will soon be implemented into everyday life; this study will help lay the foundation to provide a solution to help aid vulnerable road users. The motivation for this study has stemmed from vehicle to pedestrian collisions and this project looks to provide a solution which will look to aid vulnerable road users, especially highway workers by developing clothing which have enhanced radar reflective properties. With the inconsistent radar cross section of vulnerable road users due to their unpredictable movements, along with the weakness in radar sensors, has meant this study can address the research gap in this department. The study looked at performing an ISO standard level calibration procedure when it came to testing the radar signatures of the selected material. However this procedure could not be conducted due to the challenges in the test environment available during the test scenarios. With this limitation in mind, a much simpler calibration procedure was conducted with a known objects theoretical radar signature. Once each sensor was calibrated, a range of materials were tested and analysed to determine the suitability for this project. The results showed that the materials which incorporated the usage of silver demonstrated a higher radar signature than those that didn’t. This is due to the conductive nature and material properties of silver. Once categorized each material was soon to be implemented into a wearable clothing prototype using a high viz jacket. Angular tests of the dummy pedestrian showed there are still some scenarios where the dummy with and without the high viz jacket did not provide a satisfactory radar signatures. This was highlighted in the 135 degree and 180-degree angular tests also cementing the point that there is a need for RCS enhancement for highway workers in particular, as the high viz jacket does not provide enough support in certain positions. With this in mind the usage of material 5b showed no conclusive evidence that there will be an increase in radar signature when added to the high viz jacket, which in turn prevented the production of further prototypes as each material was then saved till a cleaner test environment was provided for use. Results demonstrated, highly conductive materials provide an enhanced radar signature with pedestrian posture and angles also greatly affecting radar readings. If the major limitations of this project can be addressed, allowing a collection reliable data to be collected, the findings could provide the necessary requirements to developing a low-cost clothing option for vulnerable road users. | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of Bedfordshire | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | ADAS | en_US |
dc.subject | radar | en_US |
dc.subject | enhancement | en_US |
dc.subject | pedestrians | en_US |
dc.subject | signals | en_US |
dc.title | Object characterisation using radar signals | en_US |
dc.type | Thesis or dissertation | en_US |
refterms.dateFOA | 2025-07-04T10:33:43Z |