All the articles with the tag "autonomous-vehicles".
How diffusion models predict action sequences instead of pixels. Covers Diffusion Policy, world models for robotics, and connecting diffusion to reinforcement learning for autonomous systems.
Why L5 autonomy is harder than a moon landing. Understanding ODD, latency loops, compute constraints, and the probability of failure in autonomous systems.
From photons to decisions: How machines reconstruct 3D reality from 2D data. Covers cameras, IPM, radar, LiDAR, and sensor fusion in an intuitive, first-principles approach.
If you don't know where your eyes are relative to your feet, you trip. Covers intrinsics, extrinsics, SE(3) transforms, online vs. offline calibration, and time synchronization.
From GPS to centimeter accuracy: How autonomous vehicles know their exact position. Covers GNSS, IMU, wheel odometry, scan matching, and the Kalman Filter fusion that creates the "Blue Line."
From perception to action: How autonomous vehicles make decisions. Covers cost functions, game-theoretic planning, and the modular vs. end-to-end debate.