Design and implement computer vision algorithms for object detection and segmentation using camera and LiDAR data fusion.
Develop deep learning models for 2D and 3D object detection, including implementation and optimization of YOLO, Faster R-CNN, SSD, and transformer-based architectures.
Create and optimize LiDAR point cloud processing pipelines using PCL and Open3D for 3D object detection and segmentation.
Implement sensor fusion techniques to combine camera and LiDAR data for enhanced object detection accuracy.
Develop instance and semantic segmentation algorithms using state-of-the-art models like Mask R-CNN, U-Net, and DeepLab.