Optimal Deployment of FMCW Radar for Detection of Car Doors in Multiple Scenarios

Optimal Deployment of FMCW Radar for Detection of Car Doors in Multiple Scenarios

연구 분야: Software Development

학회: 2025 American Control Conference (ACC)

Frequency-modulated continuous wave (FMCW) radars are increasingly installed on car doors to enhance collision avoidance. Determining the optimal placement of these radars to effectively cover the movements of both doors, while accounting for their opening and closing dynamics, presents a significant challenge. This work focuses on developing a deployment strategy for FMCW radars that addresses three worst-case scenarios: both front and rear doors closed, one door open while the other remains closed, and vice versa. For each scenario, corresponding costs are defined to evaluate the radar’s coverage performance. These costs are incorporated into an integrated cost function that assesses overall coverage efficacy across multiple car door scenarios. The cost function is then maximized using the Luus-Jaakola algorithm to derive an optimized deployment solution. The effectiveness of this optimized deployment is validated through simulations, with comparisons to commonly used strategies, demonstrating the improvements achieved by the proposed approach.