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Found 3 papers, 1 papers with code
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.
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation
In this paper, we present an extension to LaserNet, an efficient and state-of-the-art LiDAR based 3D object detector.
Temporal Analysis of Language through Neural Language Models
We provide a method for automatically detecting change in language across time through a chronologically trained neural language model.
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