[2403.08055] DrivAerNet: A Parametric Car Dataset for Data …
WEBMar 12, 2024 · This study introduces DrivAerNet, a large-scale high-fidelity CFD dataset of 3D industry-standard car shapes, and RegDGCNN, a dynamic graph convolutional neural network model, both aimed at aerodynamic car design through machine learning.
DrivAerNet: A Parametric Car Dataset for Data-Driven …
WEBMar 12, 2024 · This study introduces DrivAerNet, a large-scale high-fidelity CFD dataset of 3D industry-standard car shapes, and RegDGCNN, a dynamic graph convolutional neural network model, both aimed at aerodynamic car design through machine learning.
10 Lidar Datasets for Autonomous Driving | Segments.ai
WEBFeb 8, 2024 · In this article, we give an overview of 10 public labeled lidar datasets that you can use in your autonomous driving projects. The mentioned datasets contain either 3D bounding box (cuboid) labels or segmentation labels.
7 Best Car Design Software in 2024 (2D & 3D) - 3DSourced
WEBJan 9, 2024 · Quick Overview. Best Free Car Design Software. Blender: Powerful Open Source Car Design Software. Best Paid Car Design Software. Adobe Illustrator: Best Car Design Apps for iPhone, iPad & Android. Fusion 360: Best Car Design Software for 3D Modeling Beginners. Rhino 3D: Best Car Design Software for Mac.
How To Pick A 3D Scanner For The Automotive Aftermarket
WEBOct 18, 2023 · The 3D scanner does this by capturing millions of data points from all angles of the part and in minutes you have a complete digital clone of it. This virtual version serves as a three-dimensional test bed to build and iterate concepts swiftly before going into prototyping and production.
[PDF] DrivAerNet: A Parametric Car Dataset for Data-Driven …
WEBMar 12, 2024 · Engineering, Computer Science. This study introduces DrivAerNet, a large-scale high-fidelity CFD dataset of 3D industry-standard car shapes, and RegDGCNN, a dynamic graph convolutional neural network model, both aimed at aerodynamic car design through machine learning.
Multi-Modal 3D Object Detection in Autonomous Driving: A …
WEBMay 17, 2023 · To alleviate the difficulty of perception, self-driving vehicles are usually equipped with a suite of sensors (e.g., cameras, LiDARs), hoping to capture the scenes with overlapping perspectives to minimize blind spots. Fusing these data streams and exploiting their complementary properties is thus rapidly becoming the current trend.
Towards more accurate 3D object detection for robots and self-driving cars
WEBJan 9, 2024 · Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle...
Towards More Accurate 3D Object Detection for Robots and Self-Driving Cars
WEBJan 10, 2024 · Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to accurately detect small objects.
Car 3D Model Trends: New Insights & Data - Medium
WEBDec 14, 2023 · Today, we’re diving into the exciting world of car 3D modeling and the significant trends shaping the automotive industry. With the advancement of 3D modeling technology, designers and engineers ...
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