Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs

The idea of computer vision as the Bayesian inverse problem to computer graphics has a long history and an appealing elegance, but it has proved difficult to directly implement. Instead, most vision tasks are approached via complex bottom-up processing pipelines. Here we show that it is possible to write short, simple probabilistic graphics programs that define flexible generative models and to automatically invert them to interpret real-world images. Generative probabilistic graphics programs consist of a stochastic scene generator, a renderer based on graphics software, a stochastic likelihood model linking the renderer's output and the data, and latent variables that adjust the fidelity of the renderer and the tolerance of the likelihood model. Representations and algorithms from computer graphics, originally designed to produce high-quality images, are instead used as the deterministic backbone for highly approximate and stochastic generative models. This formulation combines probabilistic programming, computer graphics, and approximate Bayesian computation, and depends only on general-purpose, automatic inference techniques. We describe two applications: reading sequences of degraded and adversarially obscured alphanumeric characters, and inferring 3D road models from vehicle-mounted camera images. Each of the probabilistic graphics programs we present relies on under 20 lines of probabilistic code, and supports accurate, approximately Bayesian inferences about ambiguous real-world images.Comment: The first two authors contributed equally to this wor

Situational reasoning for road driving in an urban environment

Robot navigation in urban environments requires situational reasoning. Given the complexity of the environment and the behavior specified by traffic rules, it is necessary to recognize the current situation to impose the correct traffic rules. In an attempt to manage the complexity of the situational reasoning subsystem, this paper describes a finite state machine model to govern the situational reasoning process. The logic state machine and its interaction with the planning system are discussed. The approach was implemented on Alice, Team Caltech’s entry into the 2007 DARPA Urban Challenge. Results from the qualifying rounds are discussed. The approach is validated and the shortcomings of the implementation are identified

Pembuatan Simulasi All Terrain Vehicle Pada Dunia Virtual

The making of this simulation is to facilitate someone studying the early stages of how to control the special vehicles without need to face the risk of an accident. The simulation of land vehicles / off road car (All Terrain Vehicle) made, having some simple features like walks in rocky and bumpy road. The software use Logitech Steering Wheel or Keyboard as the controller. This simulator game is made using PhysX to make it easier when incorporating physics in the real world into the virtual world. Logitech SDK, derived from Logitech Gaming Software, is needed for data input from Logitech steering wheel. The result of this thesis is the data such as car position with coordinates x, y, z, and the speed of the car that will be used to control the MA3I platform. This output is affected by some input from the user in the form of gas, brake, and steering wheel

Imitating Driver Behavior with Generative Adversarial Networks

The ability to accurately predict and simulate human driving behavior is critical for the development of intelligent transportation systems. Traditional modeling methods have employed simple parametric models and behavioral cloning. This paper adopts a method for overcoming the problem of cascading errors inherent in prior approaches, resulting in realistic behavior that is robust to trajectory perturbations. We extend Generative Adversarial Imitation Learning to the training of recurrent policies, and we demonstrate that our model outperforms rule-based controllers and maximum likelihood models in realistic highway simulations. Our model both reproduces emergent behavior of human drivers, such as lane change rate, while maintaining realistic control over long time horizons.Comment: 8 pages, 6 figure

PENGARUH INTERNET MARKETING MELALUI WEBSITE TERHADAP BRAND AWARENESS

Industri pariwisata telah difokuskan pada penilaian dan pengukuran brand awareness. Permasalahan yang sedang dihadapi oleh destinasi wisata pada saat ini adalah masih rendahnya brand awareness partisipan, ini terjadi di beberapa penyedia jasa wisata salah satunya Wisata Bandung Offroad. Wisata Bandung Offroad selalu berupaya untuk meningkatkan brand awareness wisatawan dengan menerapkan website pada promosinya. Penelitian ini bertujuan untuk mengetahui gambaran website dan brand awareness serta pengaruh website terhadap brand awareness. Jenis penelitian yang digunakan adalah deskriptif dan verifikatif dengan menggunakan metode explanatory survey dan pendekatan cross sectional. Sampel dalam penelitian ini adalah 25 perusahaan melakukan offroad di Wisata Bandung Offroad, karena penelitian ini menggunakan responden Business to Business dan teknik yang digunakan adalah teknik sample jenuh, sementara teknik analisis data yang digunakan adalah regresi berganda. Variabel independen dalam penelitian ini adalah website (X) yang terdiri dari navigation bar (X1), individual hyperlink (X2), image maps (X3), dan search option (X4). Variabel dependen dalam penelitian ini adalah brand awareness (Y) yang dilihat berdasarkan aided recall, spontaneous brand recall, dan top of mind recall. Hasil penelitian yang diperoleh secara simultan terdapat pengaruh yang signifikan antara website dan brand awareness. Sedangkan secara parsial, image maps dan search option tidak menunjukkan pengaruh yang signifikan terhadap brand awareness. :--- The tourism industry has been focused on the assessment and measurement of brand awareness. The problems being faced by the tourist destinations at the moment is the low brand awareness of participants, this has happened in one travel service provider Tourism Bandung Offroad. Travel Bandung Offroad always working to increase brand awareness rating by applying on the website promotion. This study aims to describe the website and brand awareness and influence on brand awareness website. This type of research is descriptive and verification using explanatory survey method and cross sectional approach. The sample in this study is 25 companies doing offroad in Bandung Travel Offroad, because this research uses respondent Business to Business and engineering techniques used are saturated samples, while the data analysis technique used is multiple regression. Independent variable in this study is the website (X), which consists of a navigation bar (X1), individual hyperlink (X2), image maps (X3), and a search option (X4). Dependent variables in this study is brand awareness (Y) is seen by the aided recall, spontaneous brand recall, and top of mind recall. The results obtained simultaneously a significant difference between the website and brand awareness. While partially, image maps and a search option does not show a significant effect on brand awareness