Cranfield University’s Multi-User Environment for Autonomous Vehicle Innovation (MUEAVI) provided the location for part of a recent Law in Action recording focused on the legal implications of connected and autonomous vehicles (CAV) on UK roads. Neil Fulton, Connected and Autonomous Transport Programme Director from the Transport Systems Catapult, was interviewed about the HumanDrive project, which is using the Cranfield MUEAVI autonomous vehicle test site to put the HumanDrive vehicles through their paces by simulating a number of scenarios and monitoring the cars’ reactions. MUEAVI is a new £9 million open research facility, comprising a mile of ‘shared surface’ fully functioning roadway and pedestrian access through the centre of the campus, to support the development of autonomous transport vehicles and related systems. Listen to the broadcast here: http://www.bbc.co.uk/programmes/b09v3fdt
This author has yet to write their bio.Meanwhile lets just say that we are proud cygnus contributed a whooping 3 entries.
Entries by cygnus
Successful completion of this project will take the UK one step closer to autonomous vehicles on the road, helping the UK government to fulfil its ambition of seeing fully driverless cars on the road by 2021. Find out more about the benefits this project will bring. HumanDrive Project – 2pg flier
A 30-month Autonomous Vehicle project led by Nissan’s European Technical Centre, as a part of Renault-Nissan Alliance research activities, will culminate in the most complex journey yet attempted across the UK without driver input. The ‘HumanDrive’ project vehicle will be expected to deal with a variety of UK unique driving scenarios, including country roads, high speed roundabouts, A-Roads, Motorways in live traffic and different environmental conditions. Additionally, the vehicle will emulate a natural human driving style, providing an enhanced experience for the occupants. To achieve this, the project will draw upon the expertise of a variety of organisations, including the tech giant Hitachi and Transport Systems Catapult, who oversaw the first UK test of a driverless vehicle in a public space in 2016. Other partners include Cranfield University, University of Leeds, HORIBA MIRA, Atkins, Aimsun Ltd, SBD Automotive and Highways England. The HumanDrive project will seek to take autonomous technology to the next level in terms of ride comfort and adaptability, covering a number of different UK road scenes with natural road positioning. Greg Clark, Business and Energy Secretary, said: “Low carbon and self-driving vehicles are the future and they are going to drive forward a global revolution in mobility. This revolution has the potential to be worth £52bn to our economy by 2035 and the opportunity to be at the forefront of this change is one we cannot afford to miss. “Through our Industrial Strategy and the Automotive Sector Deal investment in the development of driverless technology we are committed to working with industry to seize these opportunities. Trailblazing projects like the HumanDrive project will play a vital role helping us deliver on that ambition, with UK businesses and research institutions working with partners from around the world on the disruptive technologies and services of the future.” The artificial driver model (controlling perception and decision making) will pilot the vehicle, and will be developed using the latest artificial intelligence technologies. Before being introduced to UK roads, the system will be developed and subjected to robust testing using a range of facilities, including simulation, hardware in the loop, private test track and small sections of public roads. Mark Westwood, Transport Systems Catapult Chief Technology Officer, said: “This pioneering project will considerably enhance the experience of drivers who use future autonomous vehicles. We’ve only just scratched the surface in terms of the capability of machine […]
NEWS AND SOCIAL
- Advanced simulation tools supporting HumanDrive and wider CAV roll out2nd August, 2019
Software packages developed to deliver a highly accurate digital twin of the real world, and to merge and manage multiple simulation platforms Both simulation tools being used by HumanDrive project partners to achieve 230-mile autonomous journey later this year, and to support wider CAV roll out Visualisation experts at the Connected Places Catapult (CPC) have developed a unique and innovative simulation tool to support the HumanDrive project and wider Connected and Autonomous Vehicle (CAV) development, enabling project partners and developers to visualise trials data in a highly accurate digital twin of the real world. Built following a series of real-world and simulated trials carried out by project partners Cranfield University and the University of Leeds, the tool is helping the HumanDrive team to better understand how humans drive. Uniquely, it enables developers to interrogate and filter data – collected from real-world and simulation trials, human factor observations and monitoring of drivers, and on-board sensor equipment such as lidar – with a specific question in mind. Martin Pett, Principal Technologist at the CPC, said: “We needed to create a digital twin of the trial environment in a user-friendly format so that project partners can replay and filter reams of data for deeper analysis. For example, how the trial participant positioned themselves when they passed a cyclist, their acceleration or braking profiles, how they held the steering wheel, or how weather conditions affected their speed.” “The tool is built on the Unity platform – a cross-platform, real-time engine for simulation construction commonly used by game developers – and allows you to replay the entire trial virtually, whilst seeing all the data that was generated from multiple participants, all in one place and time synchronised. It really is a fantastic tool that can be used by individuals who may not have modelling experience.” Also developed by the CPC is a light-weight software infrastructure called ‘simulation to simulation’ (s2s) that helps integrate simulators and simulations. Simulation has the potential to allow CAV developers to explore thousands of design iterations in a rapid and cost-effective manner, adapting real-world scenarios as required (from changing weather conditions to manipulating physical environment and introducing hazards) with minimal input. s2s provides a means by which simulations may be joined together to support this goal. Ecaterina McCormick, Senior Technologist at the CPC, said: “This free piece of software – which is unique to the transport sector – allows users to […]
- Traffic modelling reveals CAV potential14th November, 2018
Over the last five years, the world has seen a revolution in R&D towards the implementation of Connected and Autonomous Vehicles (CAVs). CAVs might be defined as vehicles without a human driver in the control loop, that may receive and transmit messages to other vehicles or roadside traffic management, allowing for better and more timely decisions. With such information and with direct control over the vehicles, it is hoped that significant strides can be made in the reduction of accidents and the increase of capacity. The theoretical benefits are well known: the total elimination of accidents, and a potential 900% increase in capacity by using platooning systems. However, the practical benefits when interaction with non-CAV traffic is taken into consideration are likely to be far fewer. In order to accurately undertake meaningful cost-benefit assessments, simulation has become invaluable. While the simulation of CAVs has been possible for many years, it has typically been undertaken through making a range of simple approximations and changes to pre-existing behaviour. These typically involve specifying a vehicle type and then associating it with certain new behaviours and parameters, such as shorter desired headways or faster reaction times, to mimic the removal of the human driver from the control loop. Within HumanDrive however we are modelling autonomous vehicles using a more detailed approach. While the motion of such vehicles and how and when they accelerate or decelerate, and by how much, is a closely guarded trade secret of OEMs (Original Equipment Manufacturers) around the world, a number of useful base equations exist which give us a valid starting point. For example, earlier investigations, such as that by Milanes and Shladover (2014), investigated controlling a vehicle’s motion using the following equation: uk = ukprev + kpek + kd?k Where, ukprev is the speed of the subject vehicle in the previous time step, and the gains kp and kd trying to adjust the time-gap error (ek) with respect to the preceding vehicle. While the implementation of such systems in simulation is comparatively straightforward, there are a wide range of factors that will demonstrably affect these vehicles’ impact on the traffic system. For example, it is well known that these controllers are designed to eliminate overreaction of human drivers, making them ‘string stable’ and damping or even eliminating shockwaves. However, it is clear that this is a function of the number of vehicles and a critical density must be reached before these […]
- CAV Cyber Security Framework20th August, 2018
Vehicles have evolved to become increasingly connected with in-vehicle devices and external systems and infrastructure. Connected and Autonomous Vehicles (CAVs) will soon begin to appear on our roads whilst at the same time, cyber attacks across all sectors are increasing in regularity and sophistication. To provide assurance to the public that the security risks associated with CAV technology are being appropriately managed, SNC Lavalin’s Atkins business has developed a comprehensive CAV Cyber Security Framework (CCSF). The CCSF is based on the five functions (Identify, Protect, Detect, Respond and Recover) of the globally recognised National Institute of Standards and Technology (NIST) Cyber Security Framework. The five functions of the CCSF are supplemented by a combination of industry standards and best practice to create a set of cyber security outcomes and objectives. This framework is being used by consortium partners to aid the delivery of a secure CAV ecosystem for HumanDrive. For an overview of the CAV Cyber Security Framework see our infographic which you can also download here.
With less than 2 weeks to go until #LCV2019 the team at #HumanDrive are excited to see you all. Come and meet us at stand C2-113 in the #CAM hall on the 4th and 5th September! @lcv_event @innovateuk @ccavgovuk @Catapult_UK
🎉🎉🎉Members of our team won the Best Poster Award at the 26th IAVSD Symposium on Dynamics of Vehicles on Roads and Tracks, in Gothenburg, Sweden! @HumanDriveCAV @ITSLeeds
.@HitachiEurope's Nick Blake will be @lcv_event #LCV2019 presenting on the #HumanDrive #AutonomousVehicle project. Day 1, 2pm, CAM hall. Register at https://t.co/ngx5Fjl0Q7 @innovateuk @ccavgovuk @Catapult_UK