yasinalm / grammeLinks
We provide the code, pretrained models, and scripts to reproduce the experiments of the paper "Towards All-Weather Autonomous Driving". All code was implemented in Python using the deep learning framework PyTorch.
☆39Updated 3 years ago
Alternatives and similar repositories for gramme
Users that are interested in gramme are comparing it to the libraries listed below
Sorting:
- Normal Inference Module in PyTorch, IROS 2020☆15Updated 4 years ago
- RangeSeg: Efficient Lidar Semantic Segmentation on Range view☆33Updated 11 months ago
- ☆41Updated last year
- ☆13Updated last year
- Learning to map in 3D☆88Updated 3 years ago
- [RA-L 2020] Official Tensorflow Implementation for "RGGNet: Tolerance Aware LiDAR-Camera Online Calibration with Geometric Deep Learning …☆58Updated last year
- ☆48Updated 7 months ago
- aiMotive public dataset☆50Updated 2 years ago
- (RA-L 2022) See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation.☆51Updated 2 years ago
- BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation☆80Updated last year
- Monocular Geometric Scene Understanding for Autonomous Driving. A combination of panoptic segmentation and self-supervised depth estimati…☆37Updated 2 years ago
- [ECCV 2024] SDK for MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty☆40Updated 6 months ago
- [RA-L 2023] CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic Segmentation☆25Updated last year
- Official Repo of NeurIPS '21: "Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection"☆83Updated 2 years ago
- [ECCV 2022]JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes☆79Updated 2 years ago
- ☆30Updated last year
- [RA-L 2022, S2G2: Semi-Supervised Semantic Bird-Eye-View Grid-Map Generation using a Monocular Camera for Autonomous Driving]☆11Updated 2 years ago
- Open source training framework for vision tasks. Scales up on data and scales up on tasks. Official Implementation for https://arxiv.org/…☆43Updated last year
- Devkit for the Boreas autonomous driving dataset.☆105Updated last month
- ☆59Updated 4 years ago
- Official implementation of "Reflectivity is all you need!: Advancing LiDAR semantic segmentation"☆24Updated 3 months ago
- Python Implementation for KITTI Scan Unfolding☆16Updated 4 months ago
- Is Your HD Map Constructor Reliable under Sensor Corruptions?☆37Updated last year
- Official implementation of the paper "Self-supervised Depth and Ego-motion Estimation for Monocular Thermal Video using Multi-spectral Co…☆39Updated 3 years ago
- MASS: Multi-Attentional Semantic Segmentation ofLiDAR Data for Dense Top-View Understanding☆25Updated 3 years ago
- Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation☆25Updated 7 months ago
- [CVPR 2023] BEVGuide: BEV-Guided Multi-Modality Fusion for Driving Perception☆35Updated 2 years ago
- PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud Prediction.☆32Updated 2 years ago
- Continual Learning for Depth Estimation and Panoptic Segmentation☆31Updated 7 months ago
- SHIFT Dataset DevKit - CVPR2022☆113Updated last year