LACERDA BENEVIDES, M. Filipe (2024) Obstacle detection using RADAR sensors for autonomous navigation of off-road ground robots PRE - Research Project, ENSTA.
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Abstract
Despite their high resolution and accuracy, sensors such as LiDAR and cameras are significantly impacted by adverse conditions such as smoke, dust, rain and snow – phenomena common in complex, loosely structured environments. This study investigates the application of RADAR sensors for obstacle detection in autonomous robots operating in off-road environments, aiming to enhance environmental perception and understanding. To this end, an extrinsic calibration method between RADAR and LiDAR based on the ICP algorithm was developed. Several experiments were conducted to determine the optimal target and CFAR threshold for calibration
| Item Type: | Thesis (PRE - Research Project) |
|---|---|
| Uncontrolled Keywords: | Obstacle detection, extrinsic calibration, adverse conditions |
| Subjects: | Information and Communication Sciences and Technologies |
| ID Code: | 10087 |
| Deposited By: | Filipe LACERDA BENEVIDES |
| Deposited On: | 10 sept. 2024 14:05 |
| Dernière modification: | 10 sept. 2024 14:05 |
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