Uncertainty Aware 3D Object Detection

Object detection is one of the hottest topic right now and is a fundamental concept which determines to future of autonomous driving. There are hundreds of papers rolling out every day trying to improve the performances of these detectors by creating more complex models to increase the performance by a very little amount. The problem with...

Comfort-Oriented Motion Planning Using Deep Reinforcement Learning

Motion sickness is a common phenomenon, with close to two-thirds of the population experiencing it in their lifetime. With the advent of automated vehicles in the market, it is anticipated to become an even greater problem as the passengers face a lack of predictability of motion and loss of control over the vehicle. This could nullify the host...

Lane Change Path Planning: with State-Dependent Safety Constraints

In the past years a number of SAE level 2 driving automation systems have come available in commercial vehicles. An example is Volvo's Pilot Assist, which provides a more comfortable journey for the driver as certain parts of the dynamic driving task are taken away, but it still requires the driver to be attentive in order to supervise the...