73 citations · 96 across the 15 of their papers we have counts for
6 papers · 1 filter
Cross-Modal Visual Relocalization in Prior LiDAR Maps Utilizing Intensity Textures
Qiyuan Shen, Hengwang Zhao, Weihao Yan +3
Cross-modal localization has drawn increasing attention in recent years, while the visual relocalization in prior LiDAR maps is less studied. Related methods usually suffer from in…
From Imitation to Exploration: End-to-end Autonomous Driving based on World Model
Yueyuan Li, Mingyang Jiang, Songan Zhang +3
In recent years, end-to-end autonomous driving architectures have gained increasing attention due to their advantage in avoiding error accumulation. Most existing end-to-end autono…
SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic Segmentation
Weihao Yan, Yeqiang Qian, Yueyuan Li +3
Semantic segmentation plays an important role in intelligent vehicles, providing pixel-level semantic information about the environment. However, the labeling budget is expensive a…
HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios
Mingyang Jiang, Yueyuan Li, Songan Zhang +3
Automated parking stands as a highly anticipated application of autonomous driving technology. However, existing path planning methodologies fall short of addressing this need due…
AMFD: Distillation via Adaptive Multimodal Fusion for Multispectral Pedestrian Detection
Zizhao Chen, Yeqiang Qian, Xiaoxiao Yang +2
Multispectral pedestrian detection has been shown to be effective in improving performance within complex illumination scenarios. However, prevalent double-stream networks in multi…
SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent Vehicles
Weihao Yan, Yeqiang Qian, Xingyuan Chen +3
Semantic segmentation plays a critical role in enabling intelligent vehicles to comprehend their surrounding environments. However, deep learning-based methods usually perform poor…