Hind Laghmara

According to our database, Hind Laghmara authored at least 10 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Overview on evidential fusion approaches in the context of collaborative perception for occupancy modeling.

Safa Ben Ayed, Jihed Dachraoui, Hind Laghmara, Rémi Boutteau

Appl. Intell., July, 2025

A Conflict-Guided Evidential Multimodal Fusion for Semantic Segmentation.

Lucas Deregnaucourt, Hind Laghmara, Alexis Lechervy, Samia Ainouz

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Sampled Data Radial Basis Function Neural Network Observer Design for Nonlinear Vehicle Dynamics.

Hasan Abdl Ghani, Hind Laghmara, Sofiane Ahmed Ali, Samia Ainouz, Redouane Khemmar

Proceedings of the American Control Conference, 2024

2023

Neural Network Observer for Lateral Vehicle Model with Varying Sampled and Delayed Output.

Hasan Abdl Ghani, Hind Laghmara, Sofiane Ahmed Ali, Samia Ainouz

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2020

A belief function-based forecasting link breakage indicator for VANETs.

Soumia Bourebia, Hind Laghmara, Benoît Hilt, Frédéric Drouhin, Sébastien Bindel, Jonathan Ledy, Jean-Philippe Lauffenburger, Pascal Lorenz

Wirel. Networks, 2020

Heterogeneous sensor data fusion for multiple object association using belief functions.

Hind Laghmara, Thomas Laurain, Christophe Cudel, Jean-Philippe Lauffenburger

Inf. Fusion, 2020

2019

Obstacle Avoidance, Path Planning and Control for Autonomous Vehicles.

Hind Laghmara, Mohamed Taha Boudali, Thomas Laurain, Jonathan Ledy, Rodolfo Orjuela, Jean-Philippe Lauffenburger, Michel Basset

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2.5D Evidential Grids for Dynamic Object Detection.

Hind Laghmara, Thomas Laurain, Christophe Cudel, Jean-Philippe Lauffenburger

Proceedings of the 22th International Conference on Information Fusion, 2019

2018

Evidential Object Association Using Heterogeneous Sensor Data.

Hind Laghmara, Christophe Cudel, Jean-Philippe Lauffenburger, Mohammed Boumediene

Proceedings of the 21st International Conference on Information Fusion, 2018

2017

On the information selection for optimal data association.

Hind Laghmara, Christophe Cudel, Jean-Philippe Lauffenburger, Mohammed Boumediene

Proceedings of the 20th International Conference on Information Fusion, 2017