PPT-Collision Detection and Response

Author : lindy-dunigan | Published Date : 2015-11-10

How to do this Here is where my object is Here is where my object is going to be Here is where I want my object to be A box that is Defined by the min and max coordinates

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Collision Detection and Response: Transcript


How to do this Here is where my object is Here is where my object is going to be Here is where I want my object to be A box that is Defined by the min and max coordinates of an object Always aligned with the coordinate axes. lakeshorelearningcom response response response total recognized Writing Letters Key correctly recognized WR wrong response DK didn57557t know NR no response Key correctly written WR wrong letter written DK didn57557t know 57513 Lakeshore Alphabet C 02nT Faster cycle rates Up to 10Hz Longer range detection Pros brPage 5br Magnetometers Magnetometers Large distant targets mask small local targets Difficult to pick out small target due to background noise No sense of direction of target on single Constructing Compression . F. unctions. Online Cryptography Course Dan Boneh. The . Merkle-Damgard. iterated construction. Thm. : h collision resistant ⇒ H collision resistant. Collision Detection. Probabilistic Roadmaps. How to test for. collision?. Collision Detection Methods. Many different methods. In particular:. Grid method. : good for many simple moving objects of about the same size (e.g., many moving discs with similar radii). Collision shapes. 2. Collision shapes. Collision shapes are defined respect . to . the . REF frame . of the body. Spheres, boxes, cylinders, convex . hulls, ellipsoids. , compounds,…. Concave shapes: decompose in . . California Highway Patrol – . Crescent City . Area. Population – . 27,212 (. As of 2014. ) . Roughly . 1,230. . square miles. Mountain. . to . Ocean/Sea Level . conditions. CHP Jurisdiction. Kris Hauser. ECE 383 / ME 442. Fall 2015. 3D models in robotics. Design. Simulation. Robot collision detection (i.e. prediction). Proximity calculation. Map building. Object recognition. Grasp planning. Role of the DRE. Detective Sergeant Stacy . Moate. , WSP Bellevue CID. 425-401-7745 Stacy.Moate@wsp.wa.gov. Objectives. . Understand the role of the investigator . . Understand the role of the DRE. Kangjin Yoon. , Weiping Sun, and Sunghyun Choi. Seoul National University, Korea. June 12, 2018. Needs for Broad Bandwidth. 2. ISM 5 GHz. FREE. Licensed. band. Licensed. band. Unlicensed. band. Mobile. By: Matt . Boggus. Outline. Collision tests. Pixel-pixel. Square-square. Axis-aligned bounding box (rectangle) testing. Collision detection loops. Exhaustive comparison. Static objects vs. dynamic objects. Kris Hauser. I400/B659: Intelligent Robotics. Spring 2014. 3D models in robotics. Design. Simulation. Robot collision detection (i.e. prediction). Proximity calculation. Map building. Object recognition. Jia. Pan and Dinesh Manocha. University . of North Carolina, Chapel Hill, USA. http://gamma.cs.unc.edu/gplanner. Presenter: . Liangjun. Zhang, Stanford University. Real-time Motion Planning. Dynamic/uncertain/deformable environments. Principle Of MD. Strongly . collision-free. : Can’t find . any pair m. 1. ≠ m. 2. . such that h(m. 1. )=h(m. 2. ) easily. (Sometimes we can settle for weakly collision-free: . given m. , can’t find m’ ≠ m with h(m) = h(m’).. and . Simultaneous . Estimation of . Forced . Oscillations and . Modes. John . Pierre, U of Wyoming. pierre@uwyo.edu. Dan . Trudnowski. , Montana Tech. dtrudnowski@mtech.edu. Jim Follum, PNNL (formerly at U of Wyoming).

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