Autodrive Land Vehicle Control by Using PID

In towards industry 4.0, the autodrive vehicle is needed to give people relaxed driving. There are many research in autodrive vehicle such as waymo-the Google driving car project and Tesla Self Driving Autopilot. In This paper is presented about Autodrive Land Vehicle (ALV) control by using PID. The autodrive Land vehicle can drive autonomously by using GPS Information such as Latitude and longitude to navigate in an area. The vehicle is controled to follow the given waypoint that set by operator on ground control station. PID control is used to control steering of the vehicle\u27s front wheel and to control the heading of the vehicle. From the Implementation result, it is obtained that the vehicle could track the given waypoint with small error

Autodrive Land Vehicle Control by Using PID

In towards industry 4.0, the autodrive vehicle is needed to give people relaxed driving. There are many research in autodrive vehicle such as waymo-the Google driving car project and Tesla Self Driving Autopilot. In This paper is presented about Autodrive Land Vehicle (ALV) control by using PID. The autodrive Land vehicle can drive autonomously by using GPS Information such as Latitude and longitude to navigate in an area. The vehicle is controled to follow the given waypoint that set by operator on ground control station. PID control is used to control steering of the vehicle’s front wheel and to control the heading of the vehicle. From the Implementation result, it is obtained that the vehicle could track the given waypoint with small error

Training Neural Networks to Pilot Autonomous Vehicles: Scaled Self-Driving Car

This project explores the use of deep convolutional neural networks in autonomous cars. Successful implementation of autonomous vehicles has many societal benefits. One of the main benefits is its potential to significantly reduce traffic accidents. In the United States, the National Highway Traffic Safety Administration states that human error is at fault for 93% of automotive crashes. Robust driverless vehicles can prevent many of these collisions. The main challenge in developing autonomous vehicles today is how to create a system that is able to accurately perceive and process the world around it. In 2016, NVIDIA successfully trained a deep convolutional neural network to map raw images from a single front-facing camera into steering commands. Today, automotive companies such as Google’s Waymo, and Tesla’s Autopilot, utilize deep convolutional neural networks to control their autonomous vehicles. The goal of this project is to evaluate how well a recurrent neural network and categorical output perform when combined with NVIDIA’s platform. These models’ performances are then evaluated on a scaled self driving car and compared to a human driver. NVIDIA’s model combined with a RNN is able to keep the car within 6.1 cm of a human driver’s path

Unmanned Aerial Vehicles (UAVs) in environmental biology: A Review

Acquiring information about the environment is a key step during each study in the field of environmental biology at different levels, from an individual species to community and biome. However, obtaining information about the environment is frequently difficult because of, for example, the phenological timing, spatial distribution of a species or limited accessibility of a particular area for the field survey. Moreover, remote sensing technology, which enables the observation of the Earth’s surface and is currently very common in environmental research, has many limitations such as insufficient spatial, spectral and temporal resolution and a high cost of data acquisition. Since the 1990s, researchers have been exploring the potential of different types of unmanned aerial vehicles (UAVs) for monitoring Earth’s surface. The present study reviews recent scientific literature dealing with the use of UAV in environmental biology. Amongst numerous papers, short communications and conference abstracts, we selected 110 original studies of how UAVs can be used in environmental biology and which organisms can be studied in this manner. Most of these studies concerned the use of UAV to measure the vegetation parameters such as crown height, volume, number of individuals (14 studies) and quantification of the spatio-temporal dynamics of vegetation changes (12 studies). UAVs were also frequently applied to count birds and mammals, especially those living in the water. Generally, the analytical part of the present study was divided into following sections: (1) detecting, assessing and predicting threats on vegetation, (2) measuring the biophysical parameters of vegetation, (3) quantifying the dynamics of changes in plants and habitats and (4) population and behaviour studies of animals. At the end, we also synthesised all the information showing, amongst others, the advances in environmental biology because of UAV application. Considering that 33% of studies found and included in this review were published in 2017 and 2018, it is expected that the number and variety of applications of UAVs in environmental biology will increase in the future

A conceptual design study of the reusable reentry satellite

Experimentation leading to an understanding of life processes under reduced and extremely low gravitational forces will profoundly contribute to the success of future space missions involving humans. In addition to research on gravitational biology, research on the effects of cosmic radiation and the interruption and change of circadian rhythms on life systems is also of prime importance. Research in space, however, is currently viewed by biological scientists as an arena that is essential, yet largely inaccessible to them for their experimentation. To fulfill this need, a project and spacecraft system described as the Reusuable Reentry Satellite or Lifesat has been proposed by NASA

Control and guidance systems for the navigation of a biomimetic autonomous underwater vehicle

The field of Autonomous Underwater Vehicles (AUVs) has increased dramatically in size and scope over the past three decades. Application areas for AUVs are numerous and varied, from deep sea exploration, to pipeline surveillance to mine clearing. The main concept behind this work was the design and the implementation of a control and guidance system for the navigation of a biomimetic AUV. In particular, the AUV analysed in this project tries to imitate the appearance and approximate the swimming method of an Atlantic Salmon and, for this reason, has been called RoboSalmo

Carbon Free Boston: Transportation Technical Report

Part of a series of reports that includes: Carbon Free Boston: Summary Report; Carbon Free Boston: Social Equity Report; Carbon Free Boston: Technical Summary; Carbon Free Boston: Buildings Technical Report; Carbon Free Boston: Waste Technical Report; Carbon Free Boston: Energy Technical Report; Carbon Free Boston: Offsets Technical ReportOVERVIEW: Transportation connects Boston’s workers, residents and tourists to their livelihoods, health care, education, recreation, culture, and other aspects of life quality. In cities, transit access is a critical factor determining upward mobility. Yet many urban transportation systems, including Boston’s, underserve some populations along one or more of those dimensions. Boston has the opportunity and means to expand mobility access to all residents, and at the same time reduce GHG emissions from transportation. This requires the transformation of the automobile-centric system that is fueled predominantly by gasoline and diesel fuel. The near elimination of fossil fuels—combined with more transit, walking, and biking—will curtail air pollution and crashes, and dramatically reduce the public health impact of transportation. The City embarks on this transition from a position of strength. Boston is consistently ranked as one of the most walkable and bikeable cities in the nation, and one in three commuters already take public transportation. There are three general strategies to reaching a carbon-neutral transportation system: • Shift trips out of automobiles to transit, biking, and walking;1 • Reduce automobile trips via land use planning that encourages denser development and affordable housing in transit-rich neighborhoods; • Shift most automobiles, trucks, buses, and trains to zero-GHG electricity. Even with Boston’s strong transit foundation, a carbon-neutral transportation system requires a wholesale change in Boston’s transportation culture. Success depends on the intelligent adoption of new technologies, influencing behavior with strong, equitable, and clearly articulated planning and investment, and effective collaboration with state and regional partners.Published versio

Update NPS / February 2012

NPS Distinguished Professor Releases Two Books on Diverse Subjects; NPS Acquires Two USVs, Unveils New Sea Web Lab; Army's Intellectual Center Commander Visits NP

Aerial Simultaneous Localization and Mapping Using Earth\u27s Magnetic Anomaly Field

Aerial magnetic navigation has been shown to be a viable GPS-alternative, but requires a prior-surveyed magnetic map. The miniaturization of atomic magnetometers extends their application to small aircraft at low altitudes where magnetic maps are especially inaccurate or unavailable. This research presents a simultaneous localization and mapping (SLAM) approach to constrain the drift of an inertial navigation system (INS) without the need for a magnetic map. The filter was demonstrated using real measurements on a professional survey flight, and on an AFIT unmanned aerial vehicle

SAVER (Surface Autonomous Vehicle for Emergency Rescue)

This document serves to introduce the design team and their competition challenge, as well as to detail the progress of the project. The design challenge was presented by NASA Micro-g NExT’s SAVER (Surface Autonomous Vehicle for Emergency Rescue) competition; the goal was to design a self-driving water vehicle capable of delivering supplies to Orion astronauts separated from the rest of their crew in the case of a maritime emergency. However, the team was not selected to go forward in this competition and thus decided to scale down the size of the SAVER vehicle in order to shift the focus of the project toward testing and refining the technologies necessary for a successful future team. The team first performed research on the problem, outlining and refining a preliminary design through ideation and initial analysis. Additionally, since the Critical Design Review and the downsizing of the project, the team verified the design and carried through with final manufacturing, assembly, and testing. Post Critical Design Review, teams SAVER 1 and SAVER 2 parted ways to produce individual reports for the Final Design Review. The main body of this report will detail the SAVER 1 team’s overall design processes, effectively justifying the chosen design and providing confidence in the team’s final product. Furthermore, the team’s steps completed for manufacturing, testing, and verification of SAVER are also included in this report. Finally, project management timelines detail the team’s process for effective time management that has ensured that the project is successful and fulfills all of the requirements laid out by the class