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Objects Detection Using Sensors Data Fusion in Autonomous Driving Scenarios
| Content Provider | MDPI |
|---|---|
| Author | Bocu, Razvan Bocu, Dorin Iavich, Maksim |
| Copyright Year | 2021 |
| Description | The relatively complex task of detecting 3D objects is essential in the realm of autonomous driving. The related algorithmic processes generally produce an output that consists of a series of 3D bounding boxes that are placed around specific objects of interest. The related scientific literature usually suggests that the data that are generated by different sensors or data acquisition devices are combined in order to work around inherent limitations that are determined by the consideration of singular devices. Nevertheless, there are practical issues that cannot be addressed reliably and efficiently through this strategy, such as the limited field-of-view, and the low-point density of acquired data. This paper reports a contribution that analyzes the possibility of efficiently and effectively using 3D object detection in a cooperative fashion. The evaluation of the described approach is performed through the consideration of driving data that is collected through a partnership with several car manufacturers. Considering their real-world relevance, two driving contexts are analyzed: a roundabout, and a T-junction. The evaluation shows that cooperative perception is able to isolate more than |
| Starting Page | 2903 |
| e-ISSN | 20799292 |
| DOI | 10.3390/electronics10232903 |
| Journal | Electronics |
| Issue Number | 23 |
| Volume Number | 10 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-11-24 |
| Access Restriction | Open |
| Subject Keyword | Electronics Transportation Science and Technology Objects Detection Autonomous Driving Sensors Data |
| Content Type | Text |
| Resource Type | Article |
