Written evidence: Self-driving vehicles and road traffic problems - Dr Md Nazmul Huda and Luiz Galvao

This written evidence by Dr Md Nazmul Huda and Luiz Galvao written evidence is based on research findings on how to enable self-driving vehicles to effectively perceive hazardous situations. The authors find out that:

• Road traffic problems have been a big challenge for many countries and with the estimated increase in vehicles and population, it is expected to worsen. 
• Self-driving vehicles are a potential solution to solve road traffic problems, however, they still need further developments to make them available on public roads
•  Self-driving vehicles need improvements in their perception module since it is responsible to detect and predict the behaviour of other road users.
• State-of-the-art perception algorithms have been implemented using Deep Learning techniques which are considered a data-driven approach.
• A general dataset with rich labelling is still required to develop, train, and evaluate multiple perception tasks.  There is a lack of public datasets recorded on the UK roads.

Read the full evidence here