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.

翻译：为了安全地在各种复杂的交通情况中航行,自主驾驶系统一般都配备了运动预测模块,为下游规划模块提供重要信息。对于实际应用系统来说,运动预测模型的准确性和潜伏性都至关重要。 在本报告中,我们提出了一个有效且高效的解决方案,在阿尔戈沃特二号预测挑战2022年排名第三。