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Found 5 papers, 1 papers with code
Point Cloud Compression with Sibling Context and Surface Priors
We present a novel octree-based multi-level framework for large-scale point cloud compression, which can organize sparse and unstructured point clouds in a memory-efficient way.
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning
We further use unsupervised contrastive representation learning as an auxiliary task to improve the sample efficiency.
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion
All-day and all-weather navigation is a critical capability for autonomous driving, which requires proper reaction to varied environmental conditions and complex agent behaviors.
The Role of the Hercules Autonomous Vehicle During the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation
Moreover, many countries have imposed tough lockdown measures to reduce the virus transmission (e. g., retail, catering) during the pandemic, which causes inconveniences for human daily life.
PointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds
Recent machine learning-based multi-object tracking (MOT) frameworks are becoming popular for 3-D point clouds.
