Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Li, Boqi"'
Motion prediction is critical for autonomous vehicles to effectively navigate complex environments and accurately anticipate the behaviors of other traffic participants. As autonomous driving continues to evolve, the need to assimilate new and varied
Externí odkaz:
http://arxiv.org/abs/2411.17917
This paper proposes an adaptive behavioral decision-making method for autonomous vehicles (AVs) focusing on complex merging scenarios. Leveraging principles from non-cooperative game theory, we develop a vehicle interaction behavior model that define
Externí odkaz:
http://arxiv.org/abs/2402.11467
Autor:
Li, Boqi, Liu, Weiwei
Deep Neural Networks (DNN) have been shown to be vulnerable to adversarial examples. Adversarial training (AT) is a popular and effective strategy to defend against adversarial attacks. Recent works (Benz et al., 2020; Xu et al., 2021; Tian et al., 2
Externí odkaz:
http://arxiv.org/abs/2302.04025
Although a typical autopilot system far surpasses humans in term of sensing accuracy, performance stability and response agility, such a system is still far behind humans in the wisdom of understanding an unfamiliar environment with creativity, adapt
Externí odkaz:
http://arxiv.org/abs/2301.10892
Autonomous driving confronts great challenges in complex traffic scenarios, where the risk of Safety of the Intended Functionality (SOTIF) can be triggered by the dynamic operational environment and system insufficiencies. The SOTIF risk is reflected
Externí odkaz:
http://arxiv.org/abs/2211.04009
Publikováno v:
In Accident Analysis and Prevention June 2024 200
Autor:
Gao, Zhuoya, Zhang, Jiarong, Hou, Yingchao, Lu, Jinjin, Liang, Jing, Gao, Yufeng, Li, Boqi, Gao, Shuai, Zhao, Yanjun, Gao, Min, Chen, Jinghua
Publikováno v:
In Biomaterials March 2024 305
We study the problem of eco-routing for Plug-In Hybrid Electric Vehicles (PHEVs) to minimize the overall energy consumption cost. We propose an algorithm which can simultaneously calculate an energy-optimal route (eco-route) for a PHEV and an optimal
Externí odkaz:
http://arxiv.org/abs/2004.05161
Autor:
Zhang, Jiarong, Gao, Min, Gao, Zhuoya, Hou, Yingchao, Liang, Jing, Lu, Jinjin, Gao, Shuai, Li, Boqi, Gao, Yufeng, Chen, Jinghua
Publikováno v:
In International Journal of Biological Macromolecules 31 December 2023 253 Part 4
Shared Mobility-on-Demand using automated vehicles can reduce energy consumption and cost for future mobility. However, its full potential in energy saving has not been fully explored. An algorithm to minimize fleet fuel consumption while satisfying
Externí odkaz:
http://arxiv.org/abs/1908.09828