TransFuseGrid: Transformer-based Lidar-RGB fusion for semantic grid prediction

Author:

Salazar-Gomez Gustavo1,Sierra-Gonzalez David1,Diaz-Zapata Manuel1,Paigwar Anshul1,Liu Wenqian1,Erkent Ozgur1,Laugier Christian1

Affiliation:

1. Inria, Univ. Grenoble-Alpes,Grenoble,France

Funder

Toyota Motor Europe

Publisher

IEEE

Reference23 articles.

1. Deep continuous fusion for multi-sensor 3d object detection;liang;Computer Vision - ECCV 2018,2018

2. Fishing net: Future inference of semantic heatmaps in grids;hendy;ArXiv Preprint,2020

3. Adam: A method for stochastic optimization;kingma;ArXiv Preprint,2014

4. DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

5. PointPainting: Sequential Fusion for 3D Object Detection

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1. CGAN-based System Approach for Mapless Driving on Highways;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. TLCFuse: Temporal Multi-Modality Fusion Towards Occlusion-Aware Semantic Segmentation;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

3. TP3M: Transformer-based Pseudo 3D Image Matching with Reference Image;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. MBFusion: A New Multi-modal BEV Feature Fusion Method for HD Map Construction;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. LAPTNet-FPN: Multi-Scale LiDAR-Aided Projective Transform Network for Real Time Semantic Grid Prediction;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

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