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Simple-BEV: What Really Matters for Multi-Sensor BEV Perception? (ICRA 2023)
Adam Harley
May 27, 2023
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Efficient 3D Perception for Autonomous Vehicles Zhijian Liu MIT
UNetXST | Camera to Bird's Eye View | Perception for Self Driving Cars
BEVMap: Map-Aware BEV Modeling for 3D Perception
Self-Driving Cars: Radar Perception (Matthias Zeller)
Efficient 3D Perception for Autonomous Vehicles (Zhijian Liu)
BEVSegFormer: Bird’s Eye View Semantic Segmentation From Arbitrary Camera Rigs
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
IEEE ITSC 2020 – Cam2BEV: Transforming Camera Images to a Semantically Segmented Bird's Eye View
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion | CVPR2023
BEVSegFormer: Bird’s Eye View Semantic Segmentation From Arbitrary Camera Rigs
End-to-End Autonomous Driving: A Bird’s-Eye View - DRIVE Labs Ep. 35
But what is a GPT? Visual intro to transformers | Chapter 5, Deep Learning
Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images
How Zoox Autonomous Vehicles 'Perceive' Their Surroundings
Tesla AI Day 2021
DETR: End-to-End Object Detection with Transformers (Paper Explained)
Mobileye: Now. Next. Beyond. CES 2024 Press Conference with Prof. Amnon Shashua
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ML Research Paper Explained)
Let's build GPT: from scratch, in code, spelled out.
Taking Autonomous Vehicle Occupancy Prediction into the Third Dimension - NVIDIA DRIVE Labs Ep. 30