Beelines: Motion Prediction Metrics for Self-Driving Safety and Comfort
Skanda Shridhar Yuhang Ma Tara Stentz Zhengdi Shen Galen Clark Haynes Neil Traft Skanda Shridhar Yuhang Ma Tara Stentz Zhengdi Shen Galen Clark Haynes Neil Traft
The commonly used metrics for motion prediction do not correlate well with a self-driving vehicle’s system-level performance. The most common metrics are average displacement error (ADE) and final displacement error (FDE), which omit many features, making them poor self-driving performance indicators. Since high-fidelity simulations and track testing can be resource-intensive, the use of predictio...