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This presentation explores orthographic transformations for enhancing 3D object detection, addressing challenges in LiDAR and monocular methods. It introduces a ResNet-based architecture with orthographic features and voxel grids for improved resolution. Implementation results on the KITTI dataset highlight significant advancements using data augmentation and ResNet-34. Contributions include a novel detection technique, enhanced bounding box accuracy, and implications for autonomous systems....