Lists (3)
Starred repositories
[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction
[NeurIPS 2024 Spotlight] Motion Forecasting in Continuous Driving
[CVPR 2024] HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention
[CVPR 2024] SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.
[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
A Unified Framework for scalable Vehicle Trajectory Prediction, ECCV 2024
[CVPR 2023] Query-Centric Trajectory Prediction
《动手学深度学习》习题解答，在线阅读地址如下：
An EKF filter based Interacting Multiple Model applied in 2D object maneuver modeling.
Some Python Implementations of the Kalman Filter
[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
An implementation for interacting multiple model(imm) of kalman filter
Implementation of EKF/iEKF/UKF-IMM for pedestrian motion tracking.
Official implementation of our ICRA'22 paper: ORFD: A Dataset and Benchmark for Off-Road Freespace Detection
Official implementation of paper "Stay on Track: Novel Loss Functions for Vehicle Trajectory Prediction"
[IEEE TIV] Official PyTorch Implementation of ''A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving.''
Trajectory Prediction with Noisy Topometric Map for Autonomous Navigation
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
(CVPR 2024) Paper: Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
自动驾驶散修一枚 -> 记录自己对自动驾驶的学习过程和相关学习链接
This repository is for studying a trajectory prediction using Kalman filter and deep learning models.