Co-MTP: A Cooperative Trajectory Prediction Framework with Multi-Temporal Fusion for Autonomous Driving

The Co-MTP framework presents a novel approach to trajectory prediction specifically designed for autonomous driving applications. By utilizing vehicle-to-everything (V2X) communication technologies, this framework enhances the perception capabilities of autonomous systems. A key challenge addressed by Co-MTP is the effective capture of temporal cues across multiple frames, which is critical for accurate trajectory forecasting. The integration of multi-temporal fusion techniques allows the framework to better understand and predict vehicle movements over time. This advancement aims to improve both prediction accuracy and subsequent planning tasks within autonomous driving contexts. The development of Co-MTP reflects ongoing efforts to leverage cooperative technologies to enhance safety and efficiency in autonomous vehicle operations. Overall, the framework contributes to the evolving landscape of AI-driven solutions in transportation.