Sökning: "Car tuning"

Visar resultat 6 - 10 av 20 uppsatser innehållade orden Car tuning.

1. 6. Modelling of Automotive Suspension Damper

   Master-uppsats, KTH/Fordonsdynamik

   Författare :Saurabh Vyas; Venkata Dinesh Raju Jonnalagadda; [2020]
   Nyckelord :Damper Model; hysteresis; least squares fitting; Stribeck friction model; Parameterization; FV curve; Damper test rig; Error matrix; Error plots; Multibody Simulation; MBS.; stötdämparmodell; hysteres; minsta kvadratpassning; Stribeck-friktionsmodell; Parametrisering; FV-kurva; stötdämpartestrigg; Felmatris; Feldiagram; Flerkroppssimulering; MBS;

   Sammanfattning : A hydraulic damper plays an important role in tuning the handling and comfort characteristicsof a vehicle. Tuning and selecting a damper based on subjective evaluation, by considering theopinions of various users, would be an inefficient method since the comfort requirements of usersvary a lot. LÄS MER

3. 7. Evaluation of different machine learning models for the prediction of electric or hybrid vehicle buyers and identification of the characteristics of the buyers in the EU

   Magister-uppsats, Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

   Författare :Ziaul Islam Chowdhury; Iskanter Bensenousi; [2020]
   Nyckelord :Electric Vehicles; Automotive Industry; Machine Learning; Buyer’s characteristics; Potential buyers of EV;

   Sammanfattning : The main goal of this thesis is to evaluate different machine learning models in order to classify buyers of an electric or a hybrid vehicle and to identify the characteristics of the buyers in the European Union. Machine learning algorithms and techniques were adopted to analyze the dataset and to create models that could predict, with a certain accuracy, the customer’s willingness to buy an EV. LÄS MER

4. 8. Transfer Learning in Autonomous Vehicles using Convolutional Networks

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Gustav Lundberg; [2019]
   Nyckelord :Convolutional Neural Networks; Transfer Learning; Machine Learning; Autonomous Vehicles; Technology and Engineering;

   Sammanfattning : This thesis has investigated the potential benefits of using transfer learning when training convolu- tional neural networks for the task of autonomously driving a car. Three transfer learning networks were trained and compared with a conventionally trained convolutional neural network. LÄS MER

5. 9. Parameter Optimisation of EPAS Using CAE

   Master-uppsats, KTH/Fordonsdynamik

   Författare :Shounak Bhattacharyya; Suraj Sivaramakrishnan; [2019]
   Nyckelord :Electronic Power Assist Steering; Optimization; Subjective Assessment; Objective Metrics;

   Sammanfattning : To keep up with technological as well as logistical challenges of the modern automobile market, major car manufacturing firms have resorted to virtual simulation tools. This enables the development as well as validation of vehicular models much before resources are invested into a new physical prototype. LÄS MER

7. 10. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms

   Master-uppsats, Linköpings universitet/Reglerteknik

   Författare :Albin Vestin; Gustav Strandberg; [2019]
   Nyckelord :evaluation; target tracking; multiple sensors; non-causal; smoother; smoothing; tracking; vehicle tracking; camera; lidar; estimate; estimation; prediction; vehicle dynamics; sensor fusion; real-time tracking; extended kalman filter; filter validation; validation; position estimation; velocity estimation; dynamic model; model complexity; multi object tracking; multiple object; tracking; single object tracking; data association; tracking fundamentals; iterated kalman filter; track management; gnn; global nearest neighbour; mahalanobis; mahalanobis distance; performance evaluation; differential gps; dgps; roi; ego; several sensors; sensors; rmse; root mean square error; invertible motion; anti-causal motion; anti-causal tracking; constant velocity; gnn; imu; tfs; two filter smoother; ekf; rts; radar; inertial measurement unit; nonlinear; nonlinear systems; mono camera; monocular camera; noise model; tracking performance; fixed interval smoothing; m n logic; centralized fusion; non-causal object tracker; car tracking; car dynamics; automotive; active safety; object tracking; automotive industry; thesis; master; reverse dynamics; reverse tracking; reverse sequence; sequence tracking; data propagation; ground truth; estimating ground truth; additional sensors; mounted sensors; true estimates; environment; comparison; algorithm; independent targets; overlapping; measurements; occluded; track switch; improve; lower; uncertainty; more; certain; state; process; noise; covariance; sampling; image; sprt; adas; cnn; cv; pdf; track; target; ego; tracker; tentative track; observatiom; online tracking; offline tracking; online; offline; recorded; sequences; robust; self driving; self-driving; car; traffic; trajectory; true state; scenario; scenarios; future; accurate; output; advanced; driver; assistance; systems; non-linear; complex noise; pedestrian; truck; bus; maneuvering; vehicles; processed; measurement; frame; state; correction; probability; density; function; tuning; likelihood; transition; measurement; motion; model; recursion; gaussian; approximation; distribution; linear; jacobian; multiplicative; noise; ratio; ad; hoc; ad hoc; state; space; approach; backward; auction; euclidean; distance; statistical; threshold; gating; association; margin; normalize; covariance; matrix; fusion; confirmed; rejected; tentative; history; absolute; error; modular; ego motion; parameters; variables; logg; hardware; specification; fused; causal; factorization; independent; uncorrelated; transform; moving; rotation; translation; oncoming; overtaking;

   Sammanfattning : Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking nearby traffic objects plays an important role. LÄS MER