6 citations · 9 across the 9 of their papers we have counts for
9 papers
ERPoT: Effective and Reliable Pose Tracking for Mobile Robots Using Lightweight Polygon Maps
Haiming Gao, Qibo Qiu, Hongyan Liu +3
This paper presents an effective and reliable pose tracking solution, termed ERPoT, for mobile robots operating in large-scale outdoor and challenging indoor environments, underpin…
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts
Yanting Yang, Minghao Chen, Qibo Qiu +5
For a general-purpose robot to operate in reality, executing a broad range of instructions across various environments is imperative. Central to the reinforcement learning and plan…
UniPAD: A Universal Pre-training Paradigm for Autonomous Driving
Honghui Yang, Sha Zhang, Di Huang +9
In the context of autonomous driving, the significance of effective feature learning is widely acknowledged. While conventional 3D self-supervised pre-training methods have shown w…
MCS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders
Qibo Qiu, Honghui Yang, Wenxiao Wang +5
Masked point modeling has become a promising scheme of self-supervised pre-training for point clouds. Existing methods reconstruct either the original points or related features as…
A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation
Minghao Chen, Zepeng Gao, Shuai Zhao +4
Unsupervised domain adaptation (UDA) methods facilitate the transfer of models to target domains without labels. However, these methods necessitate a labeled target validation set…
SelFLoc: Selective Feature Fusion for Large-scale Point Cloud-based Place Recognition
Qibo Qiu, Wenxiao Wang, Haochao Ying +3
Point cloud-based place recognition is crucial for mobile robots and autonomous vehicles, especially when the global positioning sensor is not accessible. LiDAR points are scattere…
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-scale Attention
Wenxiao Wang, Wei Chen, Qibo Qiu +5
While features of different scales are perceptually important to visual inputs, existing vision transformers do not yet take advantage of them explicitly. To this end, we first pro…
PriorLane: A Prior Knowledge Enhanced Lane Detection Approach Based on Transformer
Qibo Qiu, Haiming Gao, Wei Hua +2
Lane detection is one of the fundamental modules in self-driving. In this paper we employ a transformer-only method for lane detection, thus it could benefit from the blooming deve…
CVR-LSE: Compact Vectorization Representation of Local Static Environments for Unmanned Ground Vehicles
Haiming Gao, Qibo Qiu, Wei Hua +3
According to the requirement of general static obstacle detection, this paper proposes a compact vectorization representation approach of local static environments for unmanned gro…