# Evaluation of 3D Vulnerable Objects’ Detection Using a Multi-Sensors System for Autonomous Vehicles

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/evaluation-of-3d-vulnerable-objects-detection-using-a-multi-sensors-system-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Esraa Khatab,Ahmed Onsy,Ahmed Abouelfarag |
| Citations | 19 |
| DOI | 10.3390/s22041663 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/22/4/1663/pdf?version=1645436271 |
| OpenAlex ID | https://openalex.org/W4213213893 |
| PMID | 35214569 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Esraa Khatab](https://scholariq.org/researchers/esraa-khatab/)

## Paper journal

- [Sensors](https://scholariq.org/journals/sensors/)

## Paper primary topic

- [Autonomous Vehicle Technology and Safety](https://scholariq.org/topics/autonomous-vehicle-technology-and-safety/)

## Paper topics

- [Autonomous Vehicle Technology and Safety](https://scholariq.org/topics/autonomous-vehicle-technology-and-safety/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.