Our capabilities and expertise around the area of intelligent mobility include:
Software engineering and algorithm design for CAVs
- Vehicle control systems
- Trajectory planning and decision-making algorithms
- Perception systems, encompassing the processing of raw sensor data (e.g. images and point clouds), different levels of data fusion (e.g. coloured point clouds, object tracks), and communication with external systems (e.g. GNSS, V2X)
- Mapping
- Cybersecurity
- Human-machine interface, including ADAS
- Fleet management systems
Systems development for CAVs
- Prototype design and build
- Drive-by-wire conversion
- Teleoperation
CAV verification and validation
- Definition of test plans
- Modelling of vehicles, sensors, and other road actors, including the behaviour of drivers and pedestrians
- Execution of test plans in simulation (SIL, MIL, HIL)
- Instrumentation of the vehicle-under-test and other road actors for field tests
- Vehicle testing in an isolated controlled test environment (see MUEAVI below)
- Test data processing and analysis
Traffic monitoring, modelling, and management
- Automatic detection of road actors, their trajectories, and significant events (e.g. accidents, near misses, infractions of highway code, erratic behaviours)
- Modelling of vehicle interactions and the movement of groups of vehicles
- Traffic flow performance evaluation
- Traffic flow optimisation techniques
CAV testing – MUEAVI
In addition to modelling and simulation of AV functionality, AVEC possesses one of the best SWAG合集 CAM testbed facilities – a fully instrumented test road which passes through the busy main campus. The Multi-User Environment for Autonomous Vehicle Innovation (MUEAVI) offers private, easily accessed, multi-terrain and multi-scenario on- and off-road environments in which to develop and test AV functionality, either as a private user or in conjunction with Cranfield researchers.
For more information, please visit www.mueavi.co.uk.
