Adaptive Feature Fusion for Cooperative Perception using LiDAR Point Clouds

Understand

Cooperative perception allows a Connected Autonomous Vehicle (CAV) to interact with the other CAVs in the vicinity to enhance perception of surrounding objects to increase safety and reliability.

• It can compensate for the limitations of the conventional vehicular perception such as blind spots, low resolution, and weather effects.
• An effective feature fusion model for the intermediate fusion methods of cooperative perception can improve feature selection and information aggregation to further enhance the perception accuracy.
• We propose adaptive feature fusion models with trainable feature selection modules.