# Vehicle Trajectory Prediction Using Residual Diffusion Model Based on Image Information
## Appendix A
(2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Guided conditional diffusion for controllable traffic simulation. In Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA), London, UK, 29 May-2 June 2023; IEEE: Piscataway, NJ, USA, 2023; pp. 3560-3566. * [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON] Dynamic Vehicle Graph Interaction for Trajectory Prediction Based on Video Signals. In Proceedings of the ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Island, Greece, 4-10 June 2023; IEEE: Piscataway, NJ, USA, 2023; pp. 1-5. * [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Ganet: Goal area network for motion forecasting. In Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA), London, UK, 29 May-2 June 2023; IEEE: Piscataway, NJ, USA, 2023. * [PERSON] and [PERSON] (2022) [PERSON]; [PERSON]; [PERSON] Come-closer-diffuse-faster: Accelerating conditional diffusion models for inverse problems through stochastic contraction. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, New Orleans, LA, USA, 18-24 June 2022; pp. 12413-12422. * [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON] Denoising diffusion restoration models. _arXiv_**2022**, arXiv:2201.11793. * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. Tnt: Target-driven trajectory prediction. In Proceedings of the Conference on Robot Learning, PMLR, Virtual, 16-18 November 2020; pp. 895-904. * [PERSON] et al. (2024) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Goal-Guided Graph Attention Network with Interactive State Refinement for Multi-Agent Trajectory Prediction. _Sensors_**2024**, _24_, 2065. [CrossRef] [PubMed]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Wayformer: Motion forecasting via simple & efficient attention networks. In Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA), London, UK, 29 May-2 June 2023; IEEE: Piscataway, NJ, USA, 2023; pp. 2980-2987. * [PERSON] and [PERSON] (2011) [PERSON]; [PERSON]; [PERSON] [PERSON] On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation (NGSIM) program data. _Transp. Res. Part C Emerg. Technol._**2011**, _19_, 1243-1262. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON] Sta: Spatial-temporal attention for large-scale video-based person re-identification. _Proc. AAAI Conf. Artif. Intell._**2019**, _33_, 8287-8294. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data. In Proceedings of the Computer Vision-ECCV 2020: 16 th European Conference, Glasgow, UK, 23-28 August 2020; Proceedings, Part XVIII 16; Springer International Publishing: Berlin/Heidelberg, Germany, 2020; pp. 683-700. * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Vectornet: Encoding hd maps and agent dynamics from vectorized representation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, 13-19 June 2020; pp. 11525-11533. * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Learning lane graph representations for motion forecasting. In Proceedings of the Computer Vision-ECCV 2020: 16 th European Conference, Glasgow, UK, 23-28 August 2020; Proceedings, Part II 16; Springer International Publishing: Berlin/Heidelberg, Germany, 2020. * [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction.