mlsanityData to 14 Oct 2026

QML for Argoverse 2 Motion Forecasting Challenge

arXiv 2207.06553 ↗First posted 13 Jul 2022cs.CV cs.ROcited by 8

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 7 of its 8 references that are in the map. First posted on arXiv 13 Jul 2022.

Builds on

7 of 8 references.

References · 7

  1. 2017Attention Is All You Needcited by 60,361
  2. 2020Learning Lane Graph Representations for Motion Forecastingcited by 382
  3. 2017DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agentscited by 310
  4. 2021MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Predictioncited by 246
  5. 2021Scene Transformer: A unified architecture for predicting multiple agent trajectoriescited by 165
  6. 2021Exploring Simple 3D Multi-Object Tracking for Autonomous Drivingcited by 56
  7. 2021Multi-modal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Networkcited by 6

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 2; 2025: 3; 2026: 1.

8 papers.

  1. 2023Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecastingcited by 707
  2. 2023Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoderscited by 73
  3. 2025Trajectory Mamba: Efficient Attention-Mamba Forecasting Model Based on Selective SSMcited by 18
  4. 2024Motion Forecasting in Continuous Drivingcited by 11
  5. 2025HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learningcited by 2
  6. 2025LANet: A Lane Boundaries-Aware Approach For Robust Trajectory Predictioncited by 1
  7. 2024Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion-Forecastingcited by 0
  8. 2026Context-aware Attention-based Gaussian Mixture Models for Vehicular Trajectory Predictioncited by 0