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Zhongdao Wang

2 papers indexed

arxivcs.CV2026-07-06

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction

Pin Tang, Zhongdao Wang, Guoqing Wang, Xiangxuan Ren, Chao Ma

Vision-based 3D semantic occupancy prediction is essential for autonomous driving, yet dense voxel representations waste computation on largely empty space, while BEV and TPV projections compromise fine-grained 3D structure. Fully sparse representations offer an attractive altern…

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arxivcs.CV2026-07-06

PixelPilot: Scalable Vision-Language-Action Models for End-to-End Autonomous Driving

Pin Tang, Guoqing Wang, Xiangxuan Ren, Zhongdao Wang, Guodongfang Zhao, Bailan, et al.

Vision-Language-Action Models (VLAs), which leverage the advanced reasoning capabilities of Vision-Language Models (VLMs), show promising generalization in complex autonomous driving scenarios. Existing VLAs typically predict and optimize 3D trajectories from 2D images. While int…

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