Self-Supervised Bird’s Eye View Motion Prediction with Cross-Modality Signals

[PDF] arxiv.org

FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units

S Fang, R Ye, W Wang, Z Liu, Y Wang, Y Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Roadside unit (RSU) can significantly improve the safety and robustness of autonomous
vehicles through Vehicle-to-Everything (V2X) communication. Currently, the usage of a …
被引用次数：2 相关文章 所有 2 个版本
[PDF] arxiv.org

Long-Term 3D Point Tracking By Cost Volume Fusion

H Nguyen, C Kim, R Naukarkar, L Fuxin - arXiv preprint arXiv:2407.13337, 2024 - arxiv.org
Long-term point tracking is essential to understand non-rigid motion in the physical world
better. Deep learning approaches have recently been incorporated into long-term point …
相关文章 所有 2 个版本
[PDF] arxiv.org

Joint Perception and Prediction for Autonomous Driving: A Survey

L Dal'Col, M Oliveira, V Santos - arXiv preprint arXiv:2412.14088, 2024 - arxiv.org
Perception and prediction modules are critical components of autonomous driving systems,
enabling vehicles to navigate safely through complex environments. The perception module …
相关文章 所有 2 个版本
[PDF] arxiv.org

PriorMotion: Generative Class-Agnostic Motion Prediction with Raster-Vector Motion Field Priors

K Qian, X Jiao, Y Shi, Y Wang, Z Luo, Z Fu… - arXiv preprint arXiv …, 2024 - arxiv.org
Reliable perception of spatial and motion information is crucial for safe autonomous
navigation. Traditional approaches typically fall into two categories: object-centric and class …
相关文章 所有 2 个版本