OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy Prediction

no code implementations • 3 Mar 2024 • Zhenxing Ming, Julie Stephany Berrio, Mao Shan, Stewart Worrall

A comprehensive understanding of 3D scenes is crucial in autonomous vehicles (AVs), and recent models for 3D semantic occupancy prediction have successfully addressed the challenge of describing real-world objects with varied shapes and classes.

3D Semantic Occupancy Prediction Autonomous Driving +1

InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy Prediction

1 code implementation • 23 Jan 2024 • Zhenxing Ming, Julie Stephany Berrio, Mao Shan, Stewart Worrall

In contrast, our approach leverages two projection matrices to store the static mapping relationships and matrix multiplications to efficiently generate global Bird's Eye View (BEV) features and local 3D feature volumes.

3D Semantic Occupancy Prediction Autonomous Driving +1

LightFormer: An End-to-End Model for Intersection Right-of-Way Recognition Using Traffic Light Signals and an Attention Mechanism

1 code implementation • 14 Jul 2023 • Zhenxing Ming, Julie Stephany Berrio, Mao Shan, Eduardo Nebot, Stewart Worrall

For smart vehicles driving through signalised intersections, it is crucial to determine whether the vehicle has right of way given the state of the traffic lights.