LAPTNet-FPN: Multi-Scale LiDAR-Aided Projective Transform Network for Real Time Semantic Grid Prediction
Author:
Affiliation:
1. Univ Lyon,CHROMA team, Inria, INSA Lyon, CITI Lab,France
2. Univ. Grenoble Alpes,CHROMA team, Inria,Grenoble,France
Funder
EU project CPS4EU and Toyota Motor Europe
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160757.pdf?arnumber=10160757
Reference34 articles.
1. End-to-End Learning of Semantic Grid Estimation Deep Neural Network with Occupancy Grids
2. Fishing net: Future inference of semantic heatmaps in grids;hendy;ArXiv Preprint,2020
3. Springer Handbook of Robotics
4. TransFuseGrid: Transformer-based Lidar-RGB fusion for semantic grid prediction
5. Bevfusion: Multi-task multi-sensor fusion with unified bird's-eye view representation;liu;ArXiv Preprint,2022
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1. TLCFuse: Temporal Multi-Modality Fusion Towards Occlusion-Aware Semantic Segmentation;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
2. A Navigation-Based Evaluation Metric for Probabilistic Occupancy Grids: Pathfinding Cost Mean Squared Error;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24
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