1 citations · 1 across the 10 of their papers we have counts for
11 papers
DrivingAgent: Design and Scheduling Agents for Autonomous Driving Systems
Zhongyu Xia, Wenhao Chen, Yongtao Wang +1
Many autonomous driving systems are increasingly incorporating foundation models to improve generalization and handle long-tail scenarios. However, this trend introduces two key ch…
3DVLA: Enhancing Vision-Language-Action Models via 3D Spatial and Instance Understanding
Zhongyu Xia, Yousen Tang, Bingqing Wei +1
Vision-Language-Action models have achieved remarkable progress in robotic manipulation, yet they suffer from a critical limitation: a lack of 3D scene understanding. This deficien…
HiDrive: A Closed-Loop Benchmark for High-Level Autonomous Driving
Zhongyu Xia, Guanyu Zhu, Guo Tang +2
End-to-end autonomous driving has witnessed rapid progress, yet existing benchmarks are increasingly saturated, with state-of-the-art models achieving near-perfect scores on widely…
ELITE: Experiential Learning and Intent-Aware Transfer for Self-improving Embodied Agents
Bingqing Wei, Zhongyu Xia, Dingai Liu +3
Vision-language models (VLMs) have shown remarkable general capabilities, yet embodied agents built on them fail at complex tasks, often skipping critical steps, proposing invalid…
KnowVal: A Knowledge-Augmented and Value-Guided Autonomous Driving System
Zhongyu Xia, Wenhao Chen, Yongtao Wang +1
Visual-language reasoning, driving knowledge, and value alignment are essential for advanced autonomous driving systems. However, existing approaches largely rely on data-driven le…
HENet++: Hybrid Encoding and Multi-task Learning for 3D Perception and End-to-end Autonomous Driving
Zhongyu Xia, Zhiwei Lin, Yongtao Wang +1
Three-dimensional feature extraction and multi-task perception are fundamental components of modern autonomous driving systems. Although large image encoders, high-resolution input…
HeLoFusion: An Efficient and Scalable Encoder for Modeling Heterogeneous and Multi-Scale Interactions in Trajectory Prediction
Bingqing Wei, Lianmin Chen, Zhongyu Xia +1
Multi-agent trajectory prediction in autonomous driving requires a comprehensive understanding of complex social dynamics. Existing methods, however, often struggle to capture the…
PTQAT: A Hybrid Parameter-Efficient Quantization Algorithm for 3D Perception Tasks
Xinhao Wang, Zhiwei Lin, Zhongyu Xia +1
Post-Training Quantization (PTQ) and Quantization-Aware Training (QAT) represent two mainstream model quantization approaches. However, PTQ often leads to unacceptable performance…
OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection
Zhongyu Xia, Jishuo Li, Zhiwei Lin +3
Open-world perception aims to develop a model adaptable to novel domains and various sensor configurations and can understand uncommon objects and corner cases. However, current re…
HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view Cameras
Zhongyu Xia, ZhiWei Lin, Xinhao Wang +5
Three-dimensional perception from multi-view cameras is a crucial component in autonomous driving systems, which involves multiple tasks like 3D object detection and bird's-eye-vie…
RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection
Zhiwei Lin, Zhe Liu, Zhongyu Xia +7
Three-dimensional object detection is one of the key tasks in autonomous driving. To reduce costs in practice, low-cost multi-view cameras for 3D object detection are proposed to r…