LIDAR
260 items from szenergy/awesome-lidar ★1,355
-
Paper arxiv.org
-
Automatic labelling arxiv.org
Automatic labelling of urban point clouds using data fusion
-
Patchwork arxiv.org
Region-wise plane fitting-based robust and fast ground segmentation for 3D LiDAR data
-
Paper arxiv.org
-
FAST-LIO2 arxiv.org
Fast LiDAR-Inertial Odometry is a computationally efficient and robust LiDAR-inertial odometry package
-
LIO-SAM arxiv.org
Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping.
-
PolarNet arxiv.org
An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation.
-
Paper arxiv.org
-
Paper arxiv.org
-
What You See is What You Get: Exploiting Visibility for 3D Object Detection arxiv.org
By Peiyun Hu, Jason Ziglar, David Held, Deva Ramanan, 2019.
-
RandLA-Net arxiv.org
Efficient Semantic Segmentation of Large-Scale Point Clouds
-
Paper arxiv.org
-
Paper arxiv.org
-
Paper arxiv.org
-
Paper arxiv.org
-
PyTorch Geometric arxiv.org
A geometric deep learning extension library for PyTorch.
-
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection arxiv.org
By Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer. 30th IEEE Intelligent Vehicles Symposium, 2019.
-
SuperPoint Graph arxiv.org
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
-
Frustum PointNets arxiv.org
Frustum PointNets for 3D Object Detection from RGB-D Data.
-
GSeg3D arxiv.org
High-precision grid-based ground segmentation for LiDAR point clouds designed for safety-critical robotics and autonomous driving.
-
Paper 📰 arxiv.org
-
Paper arxiv.org
-
Learning to Optimally Segment Point Clouds arxiv.org
By Peiyun Hu, David Held, and Deva Ramanan at Carnegie Mellon University. IEEE Robotics and Automation Letters, 2020.
-
Argoverse argoverse.org
A dataset designed to support autonomous vehicle perception tasks including 3D tracking and motion forecasting collected in Pittsburgh, Pennsylvania and Miami, Florida, USA.
-
Baidu Apollo apollo.auto
Apollo is a popular framework which accelerates the development, testing, and deployment of Autonomous Vehicles.
-
Aeva aeva.com
Aeva is bringing the next wave of perception technology to all devices for automated driving, consumer electronics, health, industrial robotics and security, Mountain View, California, USA.
-
Paper a2d2.audi
-
Audi A2D2 Dataset a2d2.audi
The dataset features 2D semantic segmentation, 3D point clouds, 3D bounding boxes, and vehicle bus data.
