Towards Autonomous Robotic Systems
22nd Annual Conference, TAROS 2021, Lincoln, UK, September 8–10, 2021, Proceedings
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Chapter and Conference Paper
Simultaneous Base and Arm Trajectories for Multi-target Mobile Agri-Robot
Many agricultural robotics tasks require an end effector to hold stationary above individual plants in the field for short periods. Examples include precision harvesting, imaging and spraying. This effector ma...
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Chapter and Conference Paper
Scaling a Hippocampus Model with GPU Parallelisation and Test-Driven Refactoring
The hippocampus is the brain area used for localisation, map** and episodic memory. Humans and animals can outperform robotic systems in these tasks, so functional models of hippocampus may be useful to impr...
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Chapter and Conference Paper
EMap: Real-Time Terrain Estimation
Terrain map** has a many use cases in both land surveyance and autonomous vehicles. Popular methods generate occupancy maps over 3D space, which are sub-optimal in outdoor scenarios with large, clear spaces ...
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Article
Open AccessSpace Invaders: Pedestrian Proxemic Utility Functions and Trust Zones for Autonomous Vehicle Interactions
Understanding pedestrian proxemic utility and trust will help autonomous vehicles to plan and control interactions with pedestrians more safely and efficiently. When pedestrians cross the road in front of huma...
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Article
Open AccessRoad users rarely use explicit communication when interacting in today’s traffic: implications for automated vehicles
To be successful, automated vehicles (AVs) need to be able to manoeuvre in mixed traffic in a way that will be accepted by road users, and maximises traffic safety and efficiency. A likely prerequisite for thi...
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Book and Conference Proceedings
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Article
Open AccessLegal framework for small autonomous agricultural robots
Legal structures may form barriers to, or enablers of, adoption of precision agriculture management with small autonomous agricultural robots. This article develops a conceptual regulatory framework for small ...
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Chapter
Intraoperative Cortical Map**: Basic Concepts, Indications, and Anesthesia Considerations
The eloquent area of the brain is responsible for written and verbal communication. Functional neuroimaging indicates that interindividual variation exists with the anatomical location of the eloquent area of ...
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Chapter and Conference Paper
How Do We Study Pedestrian Interaction with Automated Vehicles? Preliminary Findings from the European interACT Project
This paper provides an overview of a set of behavioural studies, conducted as part of the European project interACT, to understand road user behaviour in current urban settings. The paper reports on a number o...
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Chapter
Python for Data Science Primer
In this book we will use SQL and Python as the main programming languages in computational examples. This chapter introduces new programmers to Python. It may be skipped by readers who are interested only in c...
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Chapter
Spatial Analysis
data is generally characterized by Tobler’s First Law of . The Law says that geographic data is spatially smooth, and that we can obtain information about an unobserved point (x, y) from observations of nearb...
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Chapter
Data Visualisation
We have spent a long time setting up databases, parsing CSV files, fixing quotation marks and date formats, and learning Bayesian models. Now it’s time for the payoff: visualizing the results in full colour! T...
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Chapter
Professional Issues
Suppose that Rummidgeshire County Council is working with Rummidge University’s Transport Studying Institute to understand commuter behavior on its road network, and has given the university access to its data...
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Data Preparation
In the practical examples so far we have read data from CSV files, placed it into SQL queries, and inserted it into a database. In general, this three step process is known as ETL Extract, Transform, Load. E...
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Chapter
Bayesian Inference
, otherwise known as “probability theory”, is the theory of how to combine uncertain information from multiple sources to make optimal decisions under uncertainty. These sources include empirical data an...
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Chapter
Big Data
These is no standard definition of “big” or “small” data but we will define: Small data sets those which can be held and analyzed in a computer’s memory, by consumer applications such as spreadsheets and script...
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Chapter
“Data Science” and “Big Data”
The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases. Recent years have seen a new wave of “Data Scie...
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Chapter
Database Design
the Python exercise, we used text processing operations to step through a and process each line at a time. For some applications, this method is scaled up to store and process larger data sets. For exampl...
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Chapter
Spatial Data
Transport data is generally about motion through time and space. The previous chapter considered the complexities of representing time – here we will think about space.
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Chapter
Machine Learning
“Machine learning” in its current popular use refers to models which learn to make classifications directly as functions of the data, without using any generative or causal models. We are given some known data...
