Sergio Rodriguez Florez

Associate professor (HDR)

Université Paris-Saclay

France

Research Interests

Explore related searches

Professors in France Professors in Computer Vision Computer Vision professors in France

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Sergio Rodriguez Florez is an Associate Professor (HDR) at Université Paris-Saclay in France. His research encompasses various aspects of autonomous systems, particularly in the areas of SLAM (Simultaneous Localization and Mapping), object detection, and real-time processing on embedded architectures. Recent contributions include work on FPGA architecture for SLAM applications and optimizing convolution operations for YOLOv4-based object detection.

Articles (16)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (1)

Belkacem OULD BOUAMAMA

Professor

Université de Lille

FRANCE

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Sergio Rodriguez Florez

Research Interests

Explore related searches

Contact this professor

About

Articles (16)

FPGA architecture-based front-end processing for SLAM applications

Extended Study of a Multi-Modal Loop Closure Detection Framework for SLAM Applications

Quantized Object Detection for Real-Time Inference on Embedded GPU Architectures

Optimizing Convolution Operations for YOLOv4-based Object Detection on GPU

Performance Evaluation of a Visual Defects Detection System for Railways Monitoring

Real Track Experiment Dataset for Motorcycle Rider Behavior and Trajectory Reconstruction

A multimodal loop closure fusion for autonomous vehicles SLAM

Efficient GEMM Implementation for Vision-Based Object Detection in Autonomous Driving Applications

An Extended HOOFR SLAM Algorithm Using IR-D Sensor Data for Outdoor Autonomous Vehicle Localization

A multimodal loop closure fusion for autonomous vehicles SLAM

Camera, LiDAR and Multi-modal SLAM Systems for Autonomous Ground Vehicles: a Survey

Indoor Visual SLAM Dataset With Various Acquisition Modalities

An Open-Source Scale Model Platform for Teaching Autonomous Vehicle Technologies

Enhancing RGB-D SLAM Performances Considering Sensor Specifications for Indoor Localization

Integrity Monitoring of Multimodal Perception System for Vehicle Localization

FPGA implementation of HOOFR bucketing extractor-based real-time embedded SLAM applications

Collaborators (1)

Belkacem OULD BOUAMAMA

Make your next move.