2026
NPPC: Neural Parametric Planning Cost for End-to-End Autonomous Driving
RA-L 2026
Recent advances in end-to-end autonomous driving (E2E AD) often rely on direct expert trajectory imitation to train planners. While promising, these methods are susceptible to biases and compounding errors, which can compromise safety and road compliance. Inverse Optimal Control (IOC) has the potent