Zobrazeno 1 - 10
of 672
pro vyhledávání: '"Li Shengbo"'
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:
Yang, Shuo, Wang, Caojun, Zhang, Yuanjian, Yin, Yuming, Huang, Yanjun, Li, Shengbo Eben, Chen, Hong
Adversarial scenario generation is crucial for autonomous driving testing because it can efficiently simulate various challenge and complex traffic conditions. However, it is difficult to control current existing methods to generate desired scenarios
Externí odkaz:
http://arxiv.org/abs/2408.14000
Hamilton-Jacobi (HJ) reachability analysis provides a formal method for guaranteeing safety in constrained control problems. It synthesizes a value function to represent a long-term safe set called feasible region. Early synthesis methods based on st
Externí odkaz:
http://arxiv.org/abs/2407.20532
Autor:
Jiang, Yuxuan, Yang, Yujie, Lan, Zhiqian, Zhan, Guojian, Li, Shengbo Eben, Sun, Qi, Ma, Jian, Yu, Tianwen, Zhang, Changwu
Rocket recycling is a crucial pursuit in aerospace technology, aimed at reducing costs and environmental impact in space exploration. The primary focus centers on rocket landing control, involving the guidance of a nonlinear underactuated rocket with
Externí odkaz:
http://arxiv.org/abs/2407.15083
Trajectory prediction is significant for intelligent vehicles to achieve high-level autonomous driving, and a lot of relevant research achievements have been made recently. Despite the rapid development, most existing studies solely focused on normal
Externí odkaz:
http://arxiv.org/abs/2407.13480
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
Multi-object tracking (MOT) is an essential technique for navigation in autonomous driving. In tracking-by-detection systems, biases, false positives, and misses, which are referred to as outliers, are inevitable due to complex traffic scenarios. Rec
Externí odkaz:
http://arxiv.org/abs/2406.01380
Autor:
Wang, Yinuo, Wang, Likun, Jiang, Yuxuan, Zou, Wenjun, Liu, Tong, Song, Xujie, Wang, Wenxuan, Xiao, Liming, Wu, Jiang, Duan, Jingliang, Li, Shengbo Eben
Reinforcement learning (RL) has proven highly effective in addressing complex decision-making and control tasks. However, in most traditional RL algorithms, the policy is typically parameterized as a diagonal Gaussian distribution with learned mean a
Externí odkaz:
http://arxiv.org/abs/2405.15177
Controllability is a fundamental property of control systems, serving as the prerequisite for controller design. While controllability test is well established in modelic (i.e., model-driven) control systems, extending it to datatic (i.e., data-drive
Externí odkaz:
http://arxiv.org/abs/2405.09317