Pedestrian Recognition with Radar Data-Enhanced Deep Learning Approach Based on Micro-Doppler Signatures
H Li, Y Xiang, H Xu, W Wang - 2023 IEEE 35th International …, 2023 - ieeexplore.ieee.org
As a hot topic in recent years, the ability of pedestrians identification based on radar micro-
Doppler signatures is limited by the lack of adequate training data. In this paper, we propose …
Doppler signatures is limited by the lack of adequate training data. In this paper, we propose …
Classification of Dynamic Vulnerable Road Users Using a Polarimetric mm-Wave MIMO Radar
W Bouwmeester, F Fioranelli… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
In this paper, the classification of dynamic Vulnerable Road Users (VRUs) using polarimetric
automotive radar is considered. To this end, a signal processing pipeline for polarimetric …
automotive radar is considered. To this end, a signal processing pipeline for polarimetric …
Radar in the Rain: Understanding and Simulating Environmental Effects on ADAS Radar Sensors
D Wachtel, T Rothmeier… - 2024 IEEE Radar …, 2024 - ieeexplore.ieee.org
Advanced driver assistance systems (ADAS) depend heavily on clear and precise
environmental perception. It is a known issue that vision-based sensors, like cameras and …
environmental perception. It is a known issue that vision-based sensors, like cameras and …
[PDF][PDF] Modelling Braking and Steering Avoidance Maneuvers for Micromobility
Recent advancements in technology make it possible for advanced driving assistance
systems (ADAS) to recognize micromobility vehicles (MMV) and include them in their threat …
systems (ADAS) to recognize micromobility vehicles (MMV) and include them in their threat …