Omar I. Dallal Bashi

• Doctor of Philosophy
• Northern Technical University

This work presents a Light Detection and Ranging (LiDAR)-based point cloud method for detecting and tracking road edges. Initially, this work explores the progress in detecting road curb issues. A dataset (called PandaSet) with a Pandar64 sensor to capture different city scenes is used. LiDAR point cloud, as part of an IoT ecosystem, detects the ro...

Robotics uses model predictive control (MPC) methods frequently because they ensure viability and enable the computation of revised trajectories while the robot is in motion. Nonlinear MPC-based trajectory tracking with or without obstacle avoidance has been widely discussed priory, but there is no discussion has been made on fuel minimization. Thi...

Environmental concerns and rising in energy costs require innovative solutions for household water heating. This work presents an innovative strategy for an evacuated tube-based electric/solar water heater (ESWH) incorporated with an aluminum reflector, which significantly reduces dependence on grid electricity. The whole area of the solar collecto...

While the motion planning algorithms consider the obstacles that were known in the map, it is possible to use obstacle avoidance algorithms to take over and send commands to the unmanned aerial vehicle (UAV), when there is an unknown obstacle on the way. The rapidly random tree (RRT) algorithm is used to plan paths for a quad-copter or a fixed-wing...

The use of computer-based automated approaches and improvements in lung sound recording techniques have made lung sound-based diagnostics even better and devoid of subjectivity errors. Using a computer to evaluate lung sound features more thoroughly with the use of analyzing changes in lung sound behavior, recording measurements, suppressing the pr...

Security identification solutions against WLAN network attacks according to straightforward digital detectors, such as SSID, IP addresses, and MAC addresses, are not efficient in identifying such hacking or router impersonation. These detectors can be simply mocked. Therefore, a further protected key uses new information by combining these simple d...

Deep learning algorithms are able to automatically handle point clouds over a broad range of 3D imaging implementations. They have applications in advanced driver assistance systems, perception and robot navigation, scene classification, surveillance, stereo vision, and depth estimation. According to prior studies, the detection of objects from poi...

The increased awareness of environmental monitoring has led to the development platforms for measuring gases concentration in the risk environment. In this paper, we focused on the altitude of quadcopter flying, not to be random but will be at a certain height depending on the application and the area of implementation for a quadcopter robot. A pra...

Aerial vehicles of the multicopter type are vertical take-off and landing (VTOL) vehicles, which have various civil and military applications. Unmanned aerial vehicles (UAVs) are a prolific category of robotics in which additional research is required. The objective of this work is to comprehensively review the area of UAV multicopters, with a focu...

There are certain areas that have risks that require doing some measurements. A typical area is sanitary landfill site where there is need to monitor gas concentration periodically even after it has been closed for many years. In this paper, we will develop a sensing system having the ability to measure the gas concentration in a landfill site, and...

It is difficult to find an autonomous robot capable of performing certain services in a real environment. One advantage of a robot is its ability to accomplish many of the tasks entrusted to him with high efficiency compared to that of humans. This paper aims to design and implement a robot system which has the ability to route traffic through a sp...