4 papers
Geometry-Aware Spatio-Temporal Context Modeling for 4D Occupancy Forecasting
Sitao Chen, Zhuangwei Zhuang, Hui Luo +2
4D occupancy forecasting models the spatio-temporal evolution of 3D scenes and is crucial for autonomous driving, especially for corner-case simulation. Existing methods often rely…
Semantic Occupancy Prediction with Dual Range-Voxel Representation
Sitao Chen, Zhuangwei Zhuang, Hui Luo +3
LiDAR-based 3D semantic occupancy prediction, which aims to provide accurate and comprehensive scene representation, is crucial for autonomous driving systems. As point clouds suff…
Adversarial Purification by Consistency-aware Latent Space Optimization on Data Manifolds
Shuhai Zhang, Jiahao Yang, Hui Luo +5
Deep neural networks (DNNs) are vulnerable to adversarial samples crafted by adding imperceptible perturbations to clean data, potentially leading to incorrect and dangerous predic…
Robust 3D Semantic Occupancy Prediction with Calibration-free Spatial Transformation
Zhuangwei Zhuang, Ziyin Wang, Sitao Chen +3
3D semantic occupancy prediction, which seeks to provide accurate and comprehensive representations of environment scenes, is important to autonomous driving systems. For autonomou…