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Found 4 papers, 1 papers with code
Training Complex Models with Multi-Task Weak Supervision
Snorkel MeTaL: A framework for training models with multi-task weak supervision
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LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting
In this work, we present LaserFlow, an efficient method for 3D object detection and motion forecasting from LiDAR.
Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving
Our model builds on a state-of-the-art Bird's-Eye View (BEV) network that fuses voxelized features from a sequence of historical LiDAR data as well as rasterized high-definition map to perform detection and prediction tasks.
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data
In this work, we propose \textit{MVFuseNet}, a novel end-to-end method for joint object detection and motion forecasting from a temporal sequence of LiDAR data.
