Valeo4Cast: A Modular Approach to End-to-End Forecasting
Motion forecasting is crucial in autonomous driving systems to anticipate the future
trajectories of surrounding agents such as pedestrians, vehicles, and traffic signals. In end-to …
trajectories of surrounding agents such as pedestrians, vehicles, and traffic signals. In end-to …
SRCN3D: Sparse R-CNN 3D for Compact Convolutional Multi-View 3D Object Detection and Tracking
Y Shi, J Shen, Y Sun, Y Wang, J Li, S Sun… - arXiv preprint arXiv …, 2022 - arxiv.org
Detection and tracking of moving objects is an essential component in environmental
perception for autonomous driving. In the flourishing field of multi-view 3D camera-based …
perception for autonomous driving. In the flourishing field of multi-view 3D camera-based …
TLCFuse: Temporal Multi-Modality Fusion Towards Occlusion-Aware Semantic Segmentation-Aided Motion Planning
G Salazar-Gomez, W Liu, M Diaz-Zapata… - arXiv preprint arXiv …, 2023 - arxiv.org
In autonomous driving, addressing occlusion scenarios is crucial yet challenging. Robust
surrounding perception is essential for handling occlusions and aiding motion planning …
surrounding perception is essential for handling occlusions and aiding motion planning …
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?
Motion forecasting is crucial in enabling autonomous vehicles to anticipate the future
trajectories of surrounding agents. To do so, it requires solving mapping, detection, tracking …
trajectories of surrounding agents. To do so, it requires solving mapping, detection, tracking …
Utilizing Navigation Path to Generate Target Point for Enhanced End-to-End Autonomous Driving Planning
Y Shen, J Li - arXiv preprint arXiv:2406.08349, 2024 - arxiv.org
In recent years, end-to-end autonomous driving frameworks have been shown to not only
enhance perception performance but also improve planning capabilities. However, most …
enhance perception performance but also improve planning capabilities. However, most …
Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving
Motion forecasting plays a critical role in enabling robots to anticipate future trajectories of
surrounding agents and plan accordingly. However, existing forecasting methods often rely …
surrounding agents and plan accordingly. However, existing forecasting methods often rely …
[PDF][PDF] 端到端自动驾驶系统研究综述
陈妍妍， 田大新， 林椿眄， 殷鸿博 - 中国图象图形学报 - cjig.cn
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[引用][C] GeoTrackNet: Integrating Spatial and Motion Data for Enhanced Pedestrian Trajectory Prediction in Bird's-Eye-View Environments
AA Abdulkadhem, HW Aziz… - … of Computing and …, 2024 - University of Bahrain
[PDF][PDF] Supplementary Material Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes
Scenario Collection. Certain atomic activities are rare and difficult to collect in the real world,
as shown in the class distribution comparison of TACO and OATS in Figure 2 of the main …
as shown in the class distribution comparison of TACO and OATS in Figure 2 of the main …
[PDF][PDF] Planning-oriented Autonomous Driving Supplementary Material
Detection and tracking. Detection and tracking are two crucial perception tasks for
autonomous driving, and we focus on representing them in the 3D space to facilitate …
autonomous driving, and we focus on representing them in the 3D space to facilitate …