Toward Physics-Aware Deep Learning Architectures for LiDAR Intensity Simulation

no code implementations • 24 Apr 2024 • Vivek Anand, Bharat Lohani, Gaurav Pandey, Rakesh Mishra

Autonomous vehicles (AVs) heavily rely on LiDAR perception for environment understanding and navigation.

Autonomous Vehicles Generative Adversarial Network

pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation

no code implementations • 27 Jul 2023 • Abhishek Kuriyal, Vaibhav Kumar, Bharat Lohani

The segmentation of point clouds is also essential for many applications.

Point Cloud Segmentation Segmentation +1

Benchmarking Deep Learning Architectures for Urban Vegetation Point Cloud Semantic Segmentation from MLS

no code implementations • 17 Jun 2023 • Aditya Aditya, Bharat Lohani, Jagannath Aryal, Stephan Winter

PointMetaBase and KPConv (omni-supervised) achieve the highest mIoU on the Chandigarh (95. 24%) and Toronto3D datasets (91. 26%), respectively while PointCNN provides the highest mIoU on the Kerala dataset (85. 68%).

Benchmarking Segmentation +1