Jingyun Ning

2 accepted papers

2024

Deep Dynamics: Vehicle Dynamics Modeling With a Physics-Constrained Neural Network for Autonomous Racing

John Chrosniak, Jingyun Ning, Madhur Behl

RA-L 2024

Autonomous racing is a critical research area for autonomous driving, presenting significant challenges in vehicle dynamics modeling, such as balancing model precision and computational efficiency at high speeds ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www

Cited by 33 Source ↗Scholar ↗

2023

Scalable Deep Kernel Gaussian Process for Vehicle Dynamics in Autonomous Racing

Jingyun Ning, Madhur Behl

CoRL 2023poster

Autonomous racing presents a challenging environment for testing the limits of autonomous vehicle technology. Accurately modeling the vehicle dynamics (with all forces and tires) is critical for high-speed racing, but it remains a difficult task and requires an intricate balance between run-time com…

Cited by 6 Source ↗Scholar ↗