EdgeFirst Studio Walkthrough
Follow step-by-step instructions for your visual perception project deployment.
Sebastien is presenting the scope of this new series of videos, including connecting the Raivin video module to a LIDAR, collecting data sets, visualizing the data and adding it to DeepView Enterprise for model training validation and deployment. Demonstrating real-time spatial perception with the radar and vision in camera fusion.
Raivin + LiDAR: In-Vehicle Setup & Power Wiring | Field Deployment Demo. In this follow-up to our unboxing and mounting video, we take the Raivin Radar+Vision fusion system outside and show you how to install it on a vehicle using magnetic mounts.
Edgefirst Studio Tutorial: Training a Radar + Camera Fusion Model with Indoor Dataset In this Edgefirst Studio workflow tutorial, we walk through part one of a two-part series: training a deep learning fusion model using radar and camera data from the Ravin indoor dataset.
Raivin Platform Unboxing & LiDAR Integration | Step-by-Step Setup with Ouster OS1-64 + How to pair Raivin with an Ouster OS1-64 LiDAR using the provided mounting kit, streamlining ground truth data generation for advanced perception applications.
Edgefirst Studio Tutorial: Importing & Annotating MCAP Files with Automated and Manual Workflows This video demonstrates the complete workflow of transforming real-world MCAP recordings into annotated datasets using Foxglove Studio and DeepView Enterprise.
Edgefirst Studio Tutorial: Validating Radar + Camera Fusion Models (Quantized vs Floating Point) Welcome to Part 2 of our training and validation tutorial series! In this video, we take the next step—validating three different fusion models trained in Part 1 with varying camera resolutions (320×180, 480×270, 640×360).