Obtaining Object Information from Stereo Vision System for Autonomous Vehicles
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
Autonomous navigation is a task that requires the most information it can get from its surroundings for safety, accuracy and decision making. This paper presents a stereo vision system capable of obtaining object information for autonomous vehicles. The stereo vision system is merged with an object detection algorithm to carry out this task. The merge between these systems is a proposal to create a vision system for autonomous navigation tasks that provides information about objects of interest in the field of view, such as object description, distance, height and width.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2021 IEEE 30th International Symposium on Industrial Electronics, ISIE 2021 |
| Number of pages | 6 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Publication date | 20.06.2021 |
| ISBN (print) | 978-1-7281-9022-8 |
| ISBN (electronic) | 978-1-7281-9023-5 , 978-1-7281-9024-2 |
| DOIs | |
| Publication status | Published - 20.06.2021 |
| Event | 30th IEEE International Symposium on Industrial Electronics - ISIE 2021 - Virtual, Kyoto, Japan Duration: 20.06.2021 → 23.06.2021 Conference number: 30 https://www.isie2021.org/ |
- autonomous vehicles, Camera calibration, object detection, object information, pixel to angle, stereo vision
- Engineering