16 hours ago · A deep reinforcement learning based method for real-time path planning and dynamic obstacle avoidance. Neurocomputing 497 (2022), 64–75. Duchoň et al. (2014)
14 hours ago · Abstract—Deep Reinforcement Learning (DRL) and Evolution. Strategies (ESs) have surpassed human-level control in many sequential decision-making problems, ...
23 hours ago · This paper proposes a novel approach for absolute velocity estimation of unmanned aerial vehicles in unknown and unmapped GNSS‐denied environments.
Missing: Reinforcement | Show results with:Reinforcement
19 hours ago · Professional survey USV with autonomous obstacle avoidance The APACHE 3 Pro is a lightweight and compact USV (uncrewed surface vessel) designed for professiona.
Missing: Reinforcement Learning.
16 hours ago · Reinforcement Learning for Autonomous Control of. Articulated Vehicles in ... Deep Reinforcement Learning-Based Neighbor. Selection of a Cucker-Smale ...
11 hours ago · The paper presents a system design for a driverless autonomous racing vehicle, including sensors, object detection, and control systems for high-speed ...
8 hours ago · Cameras, Imaging & Vision Systems. Suppliers and Manufacturers of UAV and UGV Cameras, Imaging and Vision Systems including associated components, ...
Missing: Reinforcement | Show results with:Reinforcement
22 hours ago · Object recognition and tracking: Autonomous drones can use computer vision tech- niques and machine learning to recognize the objects of interest in real-time ...
15 hours ago · Autonomous UAV Navigation with Adaptive Control Based on Deep Reinforcement Learning. by Yongfeng Yin, Zhetao Wang, Lili Zheng, Qingran Su and Yang Guo.
23 hours ago · Choosing a video annotation tool is challenging. Read our article to discover the five major questions you must ask before investing in a suitable tool.