CarSpeedNet: Learning-Based Speed Estimation from Accelerometer-Only Inertial Sensing
The episode discusses CarSpeedNet, a learning-based framework that estimates vehicle speed using only an accelerometer. The hosts explore how this approach addresses sensor minimalism and partial observability by treating the problem as a latent-state approximation task. They conclude that while accurate, longer input windows introduce latency.