Multi-Sensor Data Fusion for Vehicle Navigation
Autonomous navigation is one of the most key technologies for driverless cars. Accurate positioning and orientation estimation of vehicles is generally regarded as the basis of many sophisticated modules such as environmental perception, path planning, and autonomous decision-making of driverless cars under complex urban scenarios. Our main goal is to find a model by data fusion of MEMS sensors and optical encoder. We can find a car position by this sensors data fusion.
Fuzzy Modeling of Longitudinal and Lateral Vehicle Dynamics
To design of Autonomous Vehicle and Advanced Driver Assistance Systems (ADAS), having a enough accurate model of vehicle dynamics is necessary. So far, presented modelsof vehicle dynamics are based on bicycle model. this model consists of uncertian tire dynamics parameters that should be estimate by parameters identification method such as kalman filter. therefore, this models are not enough robust again parameters changing. the aim of this project is design and identification of vehicle dynamics model based on Neuro-Fuzzy Networks. fuzzy models are more robust than commonly differtial equation-based models
Traffic sign Detection and Recognition by Vision System
In this project a new intelligent driver assistance system based on traffic sign detection with Persian context is designed. The main goal of this system is to assist drivers to choose their path based on traffic signs more precisely. To reach this purpose, a new framework by using of fuzzy logic was used for detection of traffic signs in videos which have has been captured from a vehicle path in highways. Fuzzy logic increases inference and intelligent capabilities in smart systems to make correct decision making in online conditions. Then, the combination of Maximally Stable Extermal Regions (MSER) and Canny Edge Detector Algorithms are used to detect road sign’s texts detection.
Automated Parallel Parking
Automatic parking is an autonomous car-maneuvering system that moves a vehicle from a traffic lane into a parking spot to perform parallel, perpendicular or angle parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking maneuver is achieved by means of coordinated control of the steering angle and speed which takes into account the actual situation in the environment to ensure collision-free motion within the available space
Design of an Intelligent System to Recognition and Analyze the tone of Voice Command based on fuzzy logic and Develop a method to detect drivers’ eyes in different situations (day, night, light and dark)
Flying robots : Quadrotors
This thesis is about modelling, design and control of Miniature Flying Robots (MFR) with a focus on Vertical Take-Off and Landing (VTOL) systems and specifically, micro quadrotors.
Biometric identifiers are then distinctive, measurable characteristics used to label and describe individuals.Biometric identifiers are often categorized as physiological versus behavioral characteristics. Physiological characteristics are related to the shape of the body. Examples include, but are not limited to fingerprint, palm veins, face recognition, DNA, palm print, hand geometry, iris recognition, retina and odour/scent. Behavioral characteristics are related to the pattern of behavior of a person, including but not limited to typing rhythm, gait, and voice.
Nowadays, vehicle safety systems in addition to save lives, has other applications such as the prevention of accidents and driver guidance as well. Our research group carries out the design, evaluation and implementation of a variety of vehicle safety control systems. This group, by collaboration of students from Mechanical Engineering, Electrical Engineering and Computer Engineering tries to design and localize these systems. The existence of a variety of computer and electronic equipment along with an automatic car, enable achieving defined goals in the projects.