The 2nd Place Solution for 2023 Waymo Open Sim Agents Challenge

• URL: http://arxiv.org/abs/2306.15914v1
• Date: Wed, 28 Jun 2023 04:33:12 GMT
• Title: The 2nd Place Solution for 2023 Waymo Open Sim Agents Challenge
• Authors: Cheng Qian, Di Xiu, Minghao Tian
• Abstract summary: We propose a simple yet effective autoregressive method for simulating multi-agent behaviors. Our submission named MTR+++ achieves 0.4697 on the Realism Meta metric in 2023 Open Sim Agents Challenge (WOSAC) Besides, a modified model based on MTR named MTR_E is proposed after the challenge, which has a better score 0.4911 and is ranked the 3rd on the leaderboard of WOSAC as of June 25, 2023.
• Score: 8.821526792549648
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In this technical report, we present the 2nd place solution of 2023 Waymo Open Sim Agents Challenge (WOSAC)[4]. We propose a simple yet effective autoregressive method for simulating multi-agent behaviors, which is built upon a well-known multimodal motion forecasting framework called Motion Transformer (MTR)[5] with postprocessing algorithms applied. Our submission named MTR+++ achieves 0.4697 on the Realism Meta metric in 2023 WOSAC. Besides, a modified model based on MTR named MTR_E is proposed after the challenge, which has a better score 0.4911 and is ranked the 3rd on the leaderboard of WOSAC as of June 25, 2023.

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