Surround View Fisheye

Surround-view fisheye camera systems, employing four wide-angle cameras for 360° vehicle perception, are crucial for advanced driver-assistance systems (ADAS) and autonomous driving, particularly in near-field tasks like parking and low-speed maneuvering. Current research focuses on overcoming the challenges posed by fisheye lens distortion, primarily through the development of novel object detection and segmentation models—often incorporating transformer architectures and polygon-based bounding boxes—to accurately generate bird's-eye-view (BEV) representations of the vehicle's surroundings. This work is driven by the need for robust and efficient algorithms capable of handling real-world complexities like occlusion and varying lighting conditions, ultimately improving the safety and functionality of automated driving features.