# Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-sensor-fusion-for-autonomous-vehicle-perception-and-localization-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jamil Fayyad,Mohammad A. Jaradat,Dominique Gruyer,Homayoun Najjaran |
| Citations | 479 |
| DOI | 10.3390/s20154220 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/20/15/4220/pdf?version=1596166066 |
| OpenAlex ID | https://openalex.org/W3045897451 |
| PMID | 32751275 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Homayoun Najjaran](https://scholariq.org/researchers/homayoun-najjaran/)

## Paper journal

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

## Paper primary topic

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Paper topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Robotics and Sensor-Based Localization](https://scholariq.org/topics/robotics-and-sensor-based-localization/)
- [Autonomous Vehicle Technology and Safety](https://scholariq.org/topics/autonomous-vehicle-technology-and-safety/)

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