中文
相关论文

相关论文: Collision-free Trajectory Planning for Autonomous …

200 篇论文

Widespread development of driverless vehicles has led to the formation of autonomous racing, where technological development is accelerated by the high speeds and competitive environment of motorsport. A particular challenge for an…

机器人学 · 计算机科学 2021-09-16 Sam Garlick , Andrew Bradley

As a kind of fully actuated system, omnidirectional multirotor aerial vehicles (OMAVs) has more flexible maneuverability than traditional underactuated multirotor aircraft, and it also has more significant advantages in obstacle avoidance…

机器人学 · 计算机科学 2022-10-10 Peiyan Liu , Fengyu Quan , Yueqian Liu , Haoyao Chen

This paper presents a method for planning optimal trajectories with a team of Unmanned Aerial Vehicles (UAVs) performing autonomous cinematography. The method is able to plan trajectories online and in a distributed manner, providing…

机器人学 · 计算机科学 2021-04-06 Alfonso Alcántara , Jesús Capitán , Rita Cunha , Aníbal Ollero

We explore path planning followed by kinodynamic smoothing while ensuring the vehicle dynamics feasibility for MAVs. We have chosen a geometrically based motion planning technique \textquotedblleft RRT*\textquotedblright\; for this purpose.…

机器人学 · 计算机科学 2020-09-01 Geesara Kulathunga , Dmitry Devitt , Roman Fedorenko , Sergei Savin , Alexandr Klimchik

Vehicle trajectory optimization is essential to ensure vehicles travel efficiently and safely. This paper presents an infrastructure assisted constrained connected automated vehicles (CAVs) trajectory optimization method on curved roads.…

系统与控制 · 电气工程与系统科学 2021-05-18 Ran Yi , Yang Zhou , Xin Wang , Zhiyuan Liu , Xiaotian Li , Bin Ran

This paper focuses on automatic guided vehicle (AGV) trajectory planning in the presence of moving obstacles with known but complicated trajectories. In order to achieve good solution precision, optimality and unification, the concerned…

机器人学 · 计算机科学 2021-04-06 Bai Li , Youmin Zhang , Yakun Ouyang , Yi Liu , Xiang Zhong , Hangjie Cen , Qi Kong

Unmanned surface vessels (USVs) are widely used in ocean exploration and environmental protection fields. To ensure that USV can successfully perform its mission, trajectory planning and motion tracking are the two most critical…

机器人学 · 计算机科学 2022-09-08 Tao Huang , Zhenfeng Xue , Zhe Chen , Yong Liu

Overtaking is one of the most challenging tasks in driving, and the current solutions to autonomous overtaking are limited to simple and static scenarios. In this paper, we present a method for behaviour and trajectory planning for safe…

机器人学 · 计算机科学 2021-11-16 Jiyo Palatti , Andrei Aksjonov , Gokhan Alcan , Ville Kyrki

Safe trajectory planning in complex environments must balance stringent collision avoidance with real-time efficiency, which is a long-standing challenge in robotics. In this work, we present a diffusion-based trajectory planning framework…

机器人学 · 计算机科学 2025-11-27 Wule Mao , Zhouheng Li , Yunhao Luo , Yilun Du , Lei Xie

Generating time-optimal, collision-free trajectories for autonomous mobile robots involves a fundamental trade-off between guaranteeing safety and managing computational complexity. State-of-the-art approaches formulate spline-based motion…

机器人学 · 计算机科学 2026-03-26 Dries Dirckx , Jan Swevers , Wilm Decré

Autonomous ships are essentially designed and equipped to perceive their internal and external environment and subsequently perform appropriate actions depending on the predetermined objective(s) without human intervention. Consequently,…

系统与控制 · 电气工程与系统科学 2024-02-15 Agnes Ngina Mwange , Dimas Maulana Rachman , Rin Suyama , Atsuo Maki

The safe trajectory planning of intelligent and connected vehicles is a key component in autonomous driving technology. Modeling the environment risk information by field is a promising and effective approach for safe trajectory planning.…

机器人学 · 计算机科学 2025-07-01 Zeyu Han , Mengchi Cai , Chaoyi Chen , Qingwen Meng , Guangwei Wang , Ying Liu , Qing Xu , Jianqiang Wang , Keqiang Li

Trajectory planning for connected and automated vehicles (CAVs) has the potential to improve operational efficiency and vehicle fuel economy in traffic systems. Despite abundant studies in this research area, most of them only consider…

系统与控制 · 电气工程与系统科学 2021-02-09 Chengyuan Ma , Chunhui Yu , Xiaogunag Yang

This paper proposes an SVM Enhanced Trajectory Planner for dynamic scenes, typically those encountered in on road settings. Frenet frame based trajectory generation is popular in the context of autonomous driving both in research and…

机器人学 · 计算机科学 2020-09-14 Unni Krishnan R Nair , Nivedita Rufus , Vashist Madiraju , K Madhava Krishna

Traditional methods for autonomous driving are implemented with many building blocks from perception, planning and control, making them difficult to generalize to varied scenarios due to complex assumptions and interdependencies. Recently,…

计算机视觉与模式识别 · 计算机科学 2020-11-03 Peide Cai , Yuxiang Sun , Hengli Wang , Ming Liu

As the potential for autonomous vehicles to be integrated on a large scale into modern traffic systems continues to grow, ensuring safe navigation in dynamic environments is crucial for smooth integration. To guarantee safety and prevent…

This paper presents a method for online trajectory planning in known environments. The proposed algorithm is a fusion of sampling-based techniques and model-based optimization via quadratic programming. The former is used to efficiently…

This paper develops an optimal acceleration/speed profile for a single autonomous vehicle crossing multiple signalized intersections without stopping in free flow mode. The design objective is to produce both time and energy efficient…

信号处理 · 电气工程与系统科学 2019-02-01 Xiangyu Meng , Christos G. Cassandras

We present an optimization-based motion planning algorithm to compute a smooth, collision-free trajectory for a manipulator used to transfer a liquid from a source to a target container. We take into account fluid dynamics constraints as…

机器人学 · 计算机科学 2016-03-09 Zherong Pan , Dinesh Manocha

Real-world environments are inherently uncertain, and to operate safely in these environments robots must be able to plan around this uncertainty. In the context of motion planning, we desire systems that can maintain an acceptable level of…

机器人学 · 计算机科学 2020-03-18 Charles Dawson , Ashkan Jasour , Andreas Hofmann , Brian Williams