Co-MTP: A Cooperative Trajectory Prediction Framework with Multi-Temporal Fusion for Autonomous Driving
"轨迹预测" 相关文章
Dynamic Model Selection for Trajectory Prediction via Pairwise Ranking and Meta-Features
Diffusion²来袭：威斯康星大学&华盛顿大学等提出双扩散模型，“回溯历史-预测未来”，破解自动驾驶“鬼探头”难题
Diffusion²来袭：威斯康星大学&华盛顿大学等提出双扩散模型，“回溯历史-预测未来”，破解自动驾驶“鬼探头”难题
A Trajectory Generator for High-Density Traffic and Diverse Agent-Interaction Scenarios
A Trajectory Generator for High-Density Traffic and Diverse Agent-Interaction Scenarios
EgoTraj-Bench: Towards Robust Trajectory Prediction Under Ego-view Noisy Observations
Collaborative-Distilled Diffusion Models (CDDM) for Accelerated and Lightweight Trajectory Prediction
SSTP: Efficient Sample Selection for Trajectory Prediction
Point-It-Out: Benchmarking Embodied Reasoning for Vision Language Models in Multi-Stage Visual Grounding
Ensemble of Pre-Trained Models for Long-Tailed Trajectory Prediction
DreamNav: A Trajectory-Based Imaginative Framework for Zero-Shot Vision-and-Language Navigation
Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey
KEPT: Knowledge-Enhanced Prediction of Trajectories from Consecutive Driving Frames with Vision-Language Models
sam-llm: interpretable lane change trajectoryprediction via parametric finetuning
TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
H2C: Hippocampal Circuit-inspired Continual Learning for Lifelong Trajectory Prediction in Autonomous Driving
PatchTraj: Dynamic Patch Representation Learning for Time-Frequency Trajectory Prediction
IROS 2025 | 清华等提出“本体感知”新方法，让无图自动驾驶"轨迹预测"准确率提升23.6%
IROS 2025 | 清华等提出“本体感知”新方法，让无图自动驾驶"轨迹预测"准确率提升23.6%
