Fuzzy curvilinear path optimization using fuzzy regression analysis for mid vehicle collision detection and avoidance system analyzed on NGSIM I-80 dataset (real-road scenarios)
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3553-7
Abstract: The majority of the prevailing collision detection and avoidance systems render evasive maneuvers for averting front and rear vehicle collisions. This paper introduces a mid vehicle collision detection and avoidance system with a constraint-free condition… read more here.
Keywords: vehicle; collision detection; collision; detection avoidance ... See more keywords
Collision detection for virtual environment using particle swarm optimization with adaptive cauchy mutation
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-0815-6
Abstract: Rapid and accurate detection of collision between virtual objects is crucial for many virtual reality based applications. In order to ensure a high-level of accuracy and to meet the real-time requirement, a fast collision detection… read more here.
Keywords: detection; collision detection; swarm optimization; collision ... See more keywords
Parallelized collision detection with applications in virtual bone machining
Sign Up to like & getrecommendations! Published in 2020 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.105263
Abstract: BACKGROUND AND OBJECTIVES Virtual reality surgery simulators have been proved effective for training in several surgical disciplines. Nevertheless, this technology is presently underutilized in orthopaedics, especially for bone machining procedures, due to the limited realism… read more here.
Keywords: bone; bone machining; collision detection; virtual bone ... See more keywords
Deep learning-based collision detection framework for robot tasks in clutter
Sign Up to like & getrecommendations! Published in 2025 at "Robotica"
DOI: 10.1017/s0263574725000517
Abstract: Abstract In this work, the problem of reliably checking collisions between robot manipulators and the surrounding environment in short time for tasks, such as replanning and object grasping in clutter, is addressed. Geometric approaches are… read more here.
Keywords: deep learning; collision detection; robot; collision ... See more keywords
Collision detection and fault diagnosis with DMAO-GRU for flow regulating valve
Sign Up to like & getrecommendations! Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad9caf
Abstract: Fault diagnosis and condition monitoring are critical to the real-time and accurate flow regulation of the flow regulating valve. For the blockage fault, one of the main types of flow control valve faults, this paper… read more here.
Keywords: detection; fault diagnosis; collision detection; dmao ... See more keywords
A Surface Mass-Spring Model With New Flexion Springs and Collision Detection Algorithms Based on Volume Structure for Real-Time Soft-Tissue Deformation Interaction
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2883679
Abstract: A critical problem associated with surgical simulation is balancing deformation accuracy with a real-time performance. Although the canonical surface mass-spring model (MSM) can provide an excellent real-time performance, it fails to provide effective shape restoration… read more here.
Keywords: collision; surface; collision detection; real time ... See more keywords
A Collision Detection Algorithm Based on Sphere and EBB Mixed Hierarchical Bounding Boxes
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DOI: 10.1109/access.2024.3392920
Abstract: Effective collision detection is crucial for creating a realistic and immersive virtual reality (VR) experience, especially in large and complex VR environments. Collision detection research currently focuses on improving two key aspects: accuracy and real-time… read more here.
Keywords: detection; collision detection; algorithm; bounding ... See more keywords
Efficient Probabilistic Collision Detection for Non-Gaussian Noise Distributions
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.2966404
Abstract: We present an efficient algorithm to compute tight upper bounds of collision probability between two objects with positional uncertainties, whose error distributions are represented with non-Gaussian forms. Our approach can handle noisy datasets from depth… read more here.
Keywords: probabilistic collision; collision detection; non gaussian; efficient probabilistic ... See more keywords
Fast Global Collision Detection Method Based on Feature-Point-Set for Robotic Machining of Large Complex Components
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2022.3157731
Abstract: This paper presents a fast global collision detection method for robotic machining of large complex components, aiming to quickly determine whether there is a collision between the robot and the surrounding environment during the whole… read more here.
Keywords: collision detection; global collision; detection method; collision ... See more keywords
A Lightweight Detection Algorithm For Collision-Optimized Divide-and-Conquer Attacks
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DOI: 10.1109/tc.2020.3002795
Abstract: By introducing collision information into divide-and-conquer attacks, several existing works transform the original candidate space, which may be too large to enumerate, into a significantly smaller collision space, thus making key recovery possible. However, the… read more here.
Keywords: collision; collision detection; divide conquer; conquer attacks ... See more keywords
Switched Momentum Dynamics Identification for Robot Collision Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2024.3399917
Abstract: In modern industry, human–robot collaboration is becoming the norm. Since the robots need to share the same workspace with humans in an unstructured/semistructured environment, robot–human and robot–environment collisions are inevitable in general. To reduce the… read more here.
Keywords: momentum dynamics; robot; collision detection; collision ... See more keywords