Material

Abstracts and Presentations

If you would like a copy of any of the technical program presentations, please contact guillaume.ginolhac@univ-smb.fr.

Below are summaries of some of the presentations.

Lectures

## 1

Title: Statistical Signal Processing for 4D Imaging Radar-based Autonomous Applications

Speaker: Igal Bilik, Ben Gurion University of the Negev

Abstract: 

The evolution of autonomous vehicles and drones has shifted radar requirements from simple obstacle detection to high-fidelity environmental perception. Conventional radar signal processing relies on robust statistical frameworks, such as constant false alarm ratio (CFAR) detection, direction-of-arrival (DOA) estimation, and Kalman filtering, to operate in complex, non-Gaussian urban environments. However, as we move toward 4D imaging radar, which provides range, Doppler, azimuth, and elevation, the dimensionality and sparsity of the data pose significant challenges for classical estimators.

This talk explores the paradigm shift from model-based statistical signal processing to data-driven deep learning architectures in the automotive radar domain. We will discuss how the "statistical learning" framework can be applied to solve fundamental radar challenges, including: distributed target detection, statistical radar point cloud semantic segmentation, and achieving high-performance sensing with low-resolution and low-cost hardware, radar-vision sensor fusion, and collaborative sensing, using a network of distributed radars to enhance overall system performance.

By bridging the gap between rigorous statistical theory and the representative power of deep learning, we can achieve the "human-like" perception necessary for the next generation of active safety and fully autonomous navigation. The talk will conclude with a comparative analysis of Radar vs. LiDAR, highlighting why radar's statistical resilience remains the key enabler for reliable, all-weather autonomous sensing. 

## 2

Title: tbc

Speaker: Sandeep Kumar, The Indian Institute of Technology Delhi

Abstract: tbc

## 3

Title: tbc

Speaker: Arshak Minasyan, CentraleSupélec

Abstract: tbc

## 4

Title: tbc

Speaker: Reinhard Heckel, TU München

Abstract: tbc

Short Talks

• tbc, tbc

Abstract: tbc