Autonomous Vehicles (H7122)
Autonomous Vehicles
Module H7122
Module details for 2021/22.
15 credits
FHEQ Level 6
Module Outline
This module introduces the concepts of autonomous vehicles focusing on control systems engineering issues related to decision making in autonomous operation. The module covers several topics including navigation, communication, path planning, obstacle avoidance, simultaneous localisation and mapping (SLAM), modelling and simulation of autonomous systems. Case studies demonstrating real world applications of the techniques used in the development and deployment of autonomous systems are also included in this module.
AHEP3 Learning Outcomes
SM1p, SM2p, SM3p, SM1m, SM2m, SM3m, SM4m, SM5m, SM6m, EA1p, EA2p, EA3p, EA4p, EA1m, EA2m, EA3m, EA4m, EA5m, EA6m, D3p, D6p, D3m, D6m, EP1p, EP2p, EP3p, E4p, EP8p, EP9p, EP1m, EP2m, EP3m, EP4m, EP8m, EP9m, EP11m.
Module learning outcomes
Demonstrate knowledge and understanding of concepts, architectures and techniques used in autonomous vehicles
Demonstrate ability to apply and analyse fundamental methods in autonomous vehicles such as navigation, communication, motion planning, obstacle avoidance, simultaneous localisation and mapping
Demonstrate ability to identify and analyse the autonomous systems through the use of modelling and simulation techniques
Demonstrate understanding of contexts in which the control techniques used in the autonomous systems can be applied in real world scenarios
| Type | Timing | Weighting |
|---|---|---|
| Computer Based Exam | Semester 2 Assessment | 50.00% |
| Coursework | 50.00% | |
| Coursework components. Weighted as shown below. | ||
| Group written submission | T2 Week 10 | 90.00% |
| Group Presentation | T2 Week 11 | 10.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Lecture | 2 hours | 11010101010 |
| Spring Semester | Workshop | 1 hour | 11010101010 |
| Spring Semester | Laboratory | 3 hours | 00101010100 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Bao Kha Nguyen
Assess convenor
/profiles/420275
Dr Arash Moradinegade Dizqah
Assess convenor
/profiles/449994
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