9 citations · 14 across the 4 of their papers we have counts for
3 papers · 1 filter
BhopalMLS: A LiDAR Dataset for Semantic Scene Understanding in Heterogeneous Urban Environments
Pyare Lal Chauhan, Vaibhav Kumar, Bharat Lohani
We introduce BhopalMLS, a large-scale Mobile Laser Scanning (MLS) dataset from a dense, heterogeneous urban environment in Bhopal, India, with mixed traffic, informal structures, a…
Toward Physics-Aware Deep Learning Architectures for LiDAR Intensity Simulation
Vivek Anand, Bharat Lohani, Gaurav Pandey +1
Autonomous vehicles (AVs) heavily rely on LiDAR perception for environment understanding and navigation. LiDAR intensity provides valuable information about the reflected laser sig…
Benchmarking Deep Learning Architectures for Urban Vegetation Point Cloud Semantic Segmentation from MLS
Aditya Aditya, Bharat Lohani, Jagannath Aryal +1
Vegetation is crucial for sustainable and resilient cities providing various ecosystem services and well-being of humans. However, vegetation is under critical stress with rapid ur…