3 accepted papers
Combining multiple sensors for advanced perception is a crucial requirement for autonomous vehicle navigation. Heterogeneous sensors are used to obtain rich information about the surrounding environment. The combination of the camera and lidar sensors enables precise range information that can be pr…
Scene understanding is a crucial requirement for robot navigation. Conditional Random Fields (CRF) are commonly used to solve the scene labelling problem since they represent contextual information efficiently and provide efficient inference methods. However, when a robot navigates through an unknow…
Robots typically possess sensors of different modalities, such as colour cameras, inertial measurement units, and 3D laser scanners. Often, solving a particular problem becomes easier when more than one modality is used. However, while there are undeniable benefits to combine sensors of different mo…