Dynamic Vision for Perception and Control of Motion - Ernst D Dickmanns Part 5 potx

Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 5 potx

Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 5 potx

... the next decade should allow tackling this task for better and more robust scene under- standing. 5. 1.2 Fields of View, Multi-focal Vision, and Scales In dealing with real-world tasks of surveillance ... sticking to the image plane for shape description of 3 -D bodies in the real world may not be the best procedure; rigid 3 -D bodies and curves yield an in- finite numb...
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Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 10 potx

Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 10 potx

... 1. In addition, this avoids the need for se- lecting one out of three solutions of the third-order equation). Beyond a certain combination of look-ahead distance and negative (downward) vertical ... 9.3 .5 Measurement Model Including Pitch Angle and Width Changes The dependence of look-ahead range L on pitch angle ș K (Equation 9.20) and the dependence of both curvatu...
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Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 11 potx

Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 11 potx

... discussed in de- tail here. 10.2.2.1 Attention-controlled Search for Crossroads Detection In phase 1, additional windows for detection of the crossroad are positioned to that side of the road to ... spine of this road; how- ever, the vehicle turns underneath the camera. Here, only the basic considerations for gaze control have been discussed. Feed- forward control for pi...
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Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 12 potx

Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 12 potx

... strategy for road- running Finish feed-forward maneuver; switch to standard control for roadrunning with new parame- ters of (former) CR: Select: driving speed and lateral position desired in ... their axle distance on a local scale and riding comfort (spectrum of accelerations) for high-speed driving. The former criteria are of special interest for off-road drivi...
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Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 14 potx

Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 14 potx

... minor additional ef- fort once the basic aspect conditions have been determined correctly. Default val- ues for usual body size and relative positions of subobjects are part of the knowl- edge base ... far distances. Generations of researchers and students will compile and structure the knowl- edge base needed for passive vision based on spatiotemporal models of motion...
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Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 3 docx

Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 3 docx

... variety of subjects is discussed in Chapter 3. 2.2 .5. 3 Basic Dynamic Model: Decoupled Newtonian Motion The most simple and yet realistic dynamic model for the motion of a rigid body under external ... avoiding the idealized sharp 3 -D edges and corners of the generic model. Aspect graphs for simplifying models and visibility of features: In Figure 2. 15, the...
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Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 4 ppt

Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 4 ppt

... led to the classes of feed-forward and feedback control in systems dynamics and control engineering: 1. Feed-forward components U ff derived from a deeper understanding of the proc- ess controlled ... left- and right-hand side as well as translational and rotational dynamics into account. [The full model with all nonlinearities and separately modeled dynamics for the...
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Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 6 ppt

Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 6 ppt

... P -d P +d m -d m +d y 0 = 0. 25 (m +d – m d ) d Linear curvature model: C = C 0 + C 1 · s; í d < s < + d d s C 0 = (m +d – m d )/(2 d) C 1 = 1 .5 (m -d + m +d ) /d 2 Ȍ d = arctan(m d ) § m d Ȍ -d d 0 y x Ȍ 0 = ... themselves and will be detected independently of the blob analysis, usually (see lower bar in the figure with characterization of...
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Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 7 pptx

Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 7 pptx

... selected in the range,  2 0 ț / 1 0.25dDd N d . (5. 57) Corner candidates are points for which R H  0 is valid; larger values of D yield fewer corners and vice versa. Values around D = 0.04 ... brightness of a stereo system with corresponding his- tograms of the intensity: (a) left image, (b) right-hand-side image, and (c) right-hand image adapted to the intensity d...
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Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 8 ppt

Dynamic Vision for Perception and Control of Motion - Ernst D. Dickmanns Part 8 ppt

... elementary parts of recursive estimation developed for dynamic vi- sion have been introduced. They avoid the need for storing image sequences by combining 3 -D shape models and 3 -D motion models of objects ... 12.1 3.2 -0 .7 45 134 16.7 4.47 60 -1 .72 19.4 2.4 0. 65 -1 .24 48 6 1.6 40 -2 .58 15. 5 1.9 0 .52 -1 .86 21 .5 2.7 0.72 20 -5 .14 3.91 0 .5 0....
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