Detecting and counting on road vehicles is a key task in intelligent transport management
and surveillance systems. The applicability lies both in urban and highway traffic monitoring …

Semantic segmentation finds wide-ranging applications and stands as a crucial task in the
realm of computer vision. It holds significant implications for scene comprehension and …

Critical research about camera-and-LiDAR-based semantic object segmentation for
autonomous driving significantly benefited from the recent development of deep learning …

This paper presents Camera-LiDAR Fusion Transformer (CLFT) models for traffic object
segmentation, which leverage the fusion of camera and LiDAR data using vision …

This paper presents the results of a series of machine learning experiments that focus on the
domain adaption between different training datasets for autonomous driving. The …

With production and utilization of resources and other general stuff, wasteful and other
unneeded by products are bound to be generated. In India, especially the problem revolving …

Autonomous driving vehicles rely on sensors for the robust perception of their surroundings.
Such vehicles are equipped with multiple perceptive sensors with a high level of …