Car Distance Signal For Safe Overtaking System

Abstract

Research papers on car distance signals for safe overtaking focus on using sensors (like vision, radar) and AI (YOLO, VNet) to detect vehicles, estimate distance/speed, and provide real-time alerts (lights, audio, HMI) to drivers or autonomous systems, aiming to prevent accidents by signaling when a maneuver is safe, often incorporating time-to-collision (TTC) or time-to-lane-crossing (TLC) metrics to advise on lane changes, especially on two-lane roads. Key systems involve V2V communication, vision-based detection, fuzzy logic, and model predictive control for both human-driven and autonomous vehicles.