QML for Argoverse 2 Motion Forecasting Challenge. (arXiv:2207.06553v1 [cs.CV])

To safely navigate in various complex traffic scenarios, autonomous driving
systems are generally equipped with a motion forecasting module to provide
vital information for the downstream planning module. For the real-world
onboard applications, both accuracy and latency of a motion forecasting model
are essential. In this report, we present an effective and efficient solution,
which ranks the 3rd place in the Argoverse 2 Motion Forecasting Challenge 2022.

arxiv challenge cv forecasting qml