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Parked cars along the curb with partial occlusion.

Implementation of layers to estimate uncertainty for coordinates and dimensions 000348.jpg

This paper explores the challenges of accurate 3D bounding box estimation in complex urban traffic scenarios. Using the KITTI benchmark image as a representative sample, we analyze the integration of LiDAR point clouds with RGB camera data to improve vehicle and pedestrian detection in high-occlusion environments. 1. Introduction Parked cars along the curb with partial occlusion

Utilizing dropout layers to prevent overfitting on the limited spatial features of street-level imagery. 3. Analysis of Image 000348.jpg 000348.jpg

Residential/Urban street with parked and moving vehicles. Key Challenge: Accurately predicting the coordinates and dimensions of objects from a single perspective. 2. Methodology