In modern autonomous systems, it is essential to design path planning and decision-making algorithms. Path planning algorithms require the knowledge of the systems’ current state from appropriate navigation systems.

This course aims to deliver not only fundamental and critical understanding of classical and advanced path planning, navigation and decision-making theories, but also evaluation of their nature, purposes, pros and cons, and characteristics. This should enable you to critically select and design appropriate path planning, navigation, and decision-making algorithms for their specific autonomous systems.

At a glance

  • Dates
    • Please enquire for course dates
  • DurationFive days
  • LocationCranfield campus
  • Cost

    £1,940


    Concessions available

Course structure

This five-day course will consist of a mix of lectures, case studies and some very unique practical (hands-on) sessions. All delegates will receive a certificate of attendance at the end of the course.

What you will learn

On successful completion of this course you will be able to: 

  • Appraise the key principles of navigation and decision-making algorithms, and examine their properties.
  • Analyse the characteristics, purposes, and design procedures of path planning, navigation and decision-making algorithms, judge advantages and limitations.
  • Evaluate challenging problems in path planning, navigation and decision-making approaches for autonomous systems, assess current and propose alternative solutions.
  • Judge the appropriateness of particular path planning, navigation and decision-making algorithms given a specific problem.
  • Verify and validate the performance of path planning, navigation and decision-making algorithms.

Core content

  • Principals of path planning, navigation and decision making for autonomous vehicles.
  • Decision making approaches, including:
    • Approximation approach.
    • Sequential greedy algorithm.
  • Path planning approaches such as:
    • Graph-based approach.
    • Point guidance approach.
    • Path planning and following approach.
  • Navigation systems such as:
    • Vision-based navigation system;
    • Inertial navigation system.
    • Satellite navigation system.
    • Simultaneous Localisation and Mapping (SLAM).
  • The key performance indices for verification and validation of path planning, navigation and decision making;
  • Application examples of path planning, navigation and decision making algorithms.

Who should attend

This course is suitable for engineering directors and managers, and vehicle technology enthusiasts, who wish to obtain more in-depth knowledge of Connected and Automated Mobility technologies.

 

Concessions

20% discount for Cranfield alumni.

10% discount when registering 3 or more delegates from the same organisation at the same time.



Accommodation options and prices

This is a non-residential course. If you would like to book accommodation on campus, please contact Mitchell Hall or Cranfield Management Development Centre directly. Further information regarding our accommodation on campus can be found .

Alternatively you may wish to make your own arrangements at a nearby hotel.

Location and travel

SWAG合集 is situated in Bedfordshire, close to the border with Buckinghamshire. The University is located almost midway between the towns of Bedford and Milton Keynes and is conveniently situated between junctions 13 and 14 of the M1.

London Luton, Stansted and Heathrow airports are 30, 90 and 90 minutes away respectively by car, offering superb connections to and from just about anywhere in the world. 

For further location and travel details

Location address

SWAG合集
College Road
Cranfield
Bedford 
MK43 0AL

How to apply

To apply for this course please use the online application form.

Read our Professional development (CPD) booking conditions.