most citedDecoupling the Curve Modeling and Pavement Regression for Lane Detection

4 citations · 9 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2024

High-Precision Self-Supervised Monocular Depth Estimation with Rich-Resource Prior

Wencheng Han, Jianbing Shen

In the area of self-supervised monocular depth estimation, models that utilize rich-resource inputs, such as high-resolution and multi-frame inputs, typically achieve better perfor…

cs.CV2024

RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception

Chunliang Li, Wencheng Han, Junbo Yin +2

Concurrent processing of multiple autonomous driving 3D perception tasks within the same spatiotemporal scene poses a significant challenge, in particular due to the computational…

cs.CV2024

AdaOcc: Adaptive Forward View Transformation and Flow Modeling for 3D Occupancy and Flow Prediction

Dubing Chen, Wencheng Han, Jin Fang +1

In this technical report, we present our solution for the Vision-Centric 3D Occupancy and Flow Prediction track in the nuScenes Open-Occ Dataset Challenge at CVPR 2024. Our innovat…

cs.RO20244 cited

DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving

Wencheng Han, Dongqian Guo, Cheng-Zhong Xu +1

In the field of autonomous driving, two important features of autonomous driving car systems are the explainability of decision logic and the accuracy of environmental perception.…

eess.IV2023

Multi-Resolution Fusion for Fully Automatic Cephalometric Landmark Detection

Dongqian Guo, Wencheng Han

Cephalometric landmark detection on lateral skull X-ray images plays a crucial role in the diagnosis of certain dental diseases. Accurate and effective identification of these land…

cs.CV20234 cited

Decoupling the Curve Modeling and Pavement Regression for Lane Detection

Wencheng Han, Jianbing Shen

The curve-based lane representation is a popular approach in many lane detection methods, as it allows for the representation of lanes as a whole object and maximizes the use of ho…