TransFuseGrid: Transformer-based Lidar-RGB fusion for semantic grid prediction
Author:
Affiliation:
1. Inria, Univ. Grenoble-Alpes,Grenoble,France
Funder
Toyota Motor Europe
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10004205/10004219/10004276.pdf?arnumber=10004276
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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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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