The recent developments in the field of event-based vision and visible light communication (VLC) have shown significant advancements, particularly in enhancing data transmission rates and improving scene reconstruction under challenging conditions. The integration of event cameras with traditional methods has led to innovative solutions for high-speed data communication and real-time structural assessment. Notably, the use of event cameras in conjunction with digital micro-mirror devices (DMDs) has enabled a substantial increase in data transmission rates, surpassing current benchmarks by a significant margin. Additionally, the fusion of event-based sensors with other technologies such as LiDAR and inertial measurement units (IMUs) has shown promise in improving odometry performance in complex environments. Furthermore, advancements in scene reconstruction techniques, such as Gaussian Splatting, have been enhanced by the incorporation of event data, leading to more robust and efficient methods for 3D reconstruction. These developments collectively indicate a shift towards more dynamic and adaptive systems that can operate effectively in diverse and challenging conditions.

Noteworthy papers include one that significantly extends passive VLC data rates using event cameras and DMDs, achieving a 16x increase over current benchmarks, and another that introduces a novel event-based approach for 3D Gaussian Splatting, enhancing reconstruction quality under challenging conditions.