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Training Semantic Segmentation Models for Autonomous Vehicles (A Step-by-Step Guide)
Soumik RakshitSep 20Articles, Intermediate, Autonomous Vehicles, Plots, Tables, Sweeps, Slider, Tutorial, Berkeley Deep Drive, Object Detection, Semantic Segmentation, YOLO
Lyft's High-Capacity End-to-End Camera-Lidar Fusion for 3D Detection
Weights & Biases Case StudiesMay 10Advanced, Computer Vision, Object Detection, Semantic Segmentation, Case Study, Research, Plots, Autonomous Vehicles
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A Gentle Introduction to Reinforcement Learning With An Example
Mukilan KrishnakumarNov 03Reinforcement Learning, Articles, Tutorial, Autonomous Vehicles, Intermediate, Panels, Plots
Scaling Out Motion Prediction for Autonomous Vehicles with L5Kit, Ray, and W&B
Anish ShahSep 30Articles, Autonomous Vehicles, Advanced, Ray Tune, Computer Vision, Panels, Plots, Tables
The Berkeley Deep Drive (BDD110K) Dataset
Bharat RamanathanSep 28Autonomous Vehicles, Computer Vision, Semantic Segmentation, Object Detection
Object Detection for Autonomous Vehicles (A Step-by-Step Guide)
Soumik RakshitSep 21Articles, Berkeley Deep Drive, Advanced, Autonomous Vehicles, Experiment, Tutorial, Sweeps, Plots, Panels, Slider
Modeling Drivable Areas for Autonomous Vehicles with Real and Synthetic Data
Ayush Thakur, Manan GoelSep 09Articles, Semantic Segmentation, Berkeley Deep Drive, Plots, Panels, Sweeps, Slider, Autonomous Vehicles, Experiment, Tutorial, Intermediate, U-Net
The Semantic KITTI Dataset
Bharat RamanathanSep 01Autonomous Vehicles, Object Detection, Beginner, Semantic Segmentation, Computer Vision
How to Train ML Models with SageMaker Studio Lab, a Powerful Jupyter-based ML Platform
Thomas CapelleJun 30Articles, SageMaker, Tutorial, Intermediate, Experiment, Semantic Segmentation, Autonomous Vehicles, U-Net
Debugging a Self-Driving RC Car
Armand du Parc LocmariaAug 04Beginner, Computer Vision, Object Detection, Case Study, Panels, Plots, Autonomous Vehicles
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