Zobrazeno 1 - 10
of 12 851
pro vyhledávání: '"XU, Qing"'
Autor:
Lyu, Yao, Zhang, Xiangteng, Li, Shengbo Eben, Duan, Jingliang, Tao, Letian, Xu, Qing, He, Lei, Li, Keqiang
Training deep reinforcement learning (RL) agents necessitates overcoming the highly unstable nonconvex stochastic optimization inherent in the trial-and-error mechanism. To tackle this challenge, we propose a physics-inspired optimization algorithm c
Externí odkaz:
http://arxiv.org/abs/2412.02291
Autor:
Li, Shuai, Chen, Chaoyi, Zheng, Haotian, Wang, Jiawei, Xu, Qing, Wang, Jianqiang, Li, Keqiang
Controlling mixed platoons, which consist of both connected and automated vehicles (CAVs) and human-driven vehicles (HDVs), poses significant challenges due to the uncertain and unknown human driving behaviors. Data-driven control methods offer promi
Externí odkaz:
http://arxiv.org/abs/2411.13924
Autor:
Jiang, Junkai, Han, Zeyu, Wang, Yuning, Cai, Mengchi, Meng, Qingwen, Xu, Qing, Wang, Jianqiang
Driving risk assessment is crucial for both autonomous vehicles and human-driven vehicles. The driving risk can be quantified as the product of the probability that an event (such as collision) will occur and the consequence of that event. However, t
Externí odkaz:
http://arxiv.org/abs/2410.14996
This study focuses on a critical aspect of bridge engineering -- the evaluation of cable forces, paying particular attention to the cables that are internally constrained by elastic supports. Detecting these cable forces is important for the safety a
Externí odkaz:
http://arxiv.org/abs/2410.06439
Autor:
Zhu, Zehang, Wang, Yuning, Ke, Tianqi, Han, Zeyu, Xu, Shaobing, Xu, Qing, Dolan, John M., Wang, Jianqiang
Safety is one of the most crucial challenges of autonomous driving vehicles, and one solution to guarantee safety is to employ an additional control revision module after the planning backbone. Control Barrier Function (CBF) has been widely used beca
Externí odkaz:
http://arxiv.org/abs/2409.14688
Autor:
He, Lei, Wang, Qiaoyi, Sun, Honglin, Xu, Qing, Gao, Bolin, Li, Shengbo Eben, Wang, Jianqiang, Li, Keqiang
Visual bird's eye view (BEV) perception, due to its excellent perceptual capabilities, is progressively replacing costly LiDAR-based perception systems, especially in the realm of urban intelligent driving. However, this type of perception still reli
Externí odkaz:
http://arxiv.org/abs/2409.05834
Autor:
Lou, Zhenye, Xu, Qing, Jiang, Zekun, He, Xiangjian, Chen, Zhen, Wang, Yi, Li, Chenxin, He, Maggie M., Duan, Wenting
Domain-generalized nuclei segmentation refers to the generalizability of models to unseen domains based on knowledge learned from source domains and is challenged by various image conditions, cell types, and stain strategies. Recently, the Segment An
Externí odkaz:
http://arxiv.org/abs/2408.11787
ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image Segmentation
Autor:
Xu, Qing, Li, Jiaxuan, He, Xiangjian, Liu, Ziyu, Chen, Zhen, Duan, Wenting, Li, Chenxin, He, Maggie M., Tesema, Fiseha B., Cheah, Wooi P., Wang, Yi, Qu, Rong, Garibaldi, Jonathan M.
The universality of deep neural networks across different modalities and their generalization capabilities to unseen domains play an essential role in medical image segmentation. The recent Segment Anything Model (SAM) has demonstrated its potential
Externí odkaz:
http://arxiv.org/abs/2407.14153
Perception is essential for autonomous driving system. Recent approaches based on Bird's-eye-view (BEV) and deep learning have made significant progress. However, there exists challenging issues including lengthy development cycles, poor reusability,
Externí odkaz:
http://arxiv.org/abs/2407.12491
Autor:
Sun, Jian, Dai, Yuqi, Vong, Chi-Man, Xu, Qing, Li, Shengbo Eben, Wang, Jianqiang, He, Lei, Li, Keqiang
Bird's-eye-view (BEV) semantic segmentation is becoming crucial in autonomous driving systems. It realizes ego-vehicle surrounding environment perception by projecting 2D multi-view images into 3D world space. Recently, BEV segmentation has made nota
Externí odkaz:
http://arxiv.org/abs/2407.13137