Julia Nitsch
YOU?
Author Swipe
View article: Out-of-Distribution Detection for Automotive Perception
Out-of-Distribution Detection for Automotive Perception Open
Neural networks (NNs) are widely used for object classification in autonomous driving. However, NNs can fail on input data not well represented by the training dataset, known as out-of-distribution (OOD) data. A mechanism to detect OOD sam…
View article: Object Classification Based on Unsupervised Learned Multi-Modal Features For Overcoming Sensor Failures
Object Classification Based on Unsupervised Learned Multi-Modal Features For Overcoming Sensor Failures Open
For autonomous driving applications it is critical to know which type of road users and road side infrastructure are present to plan driving manoeuvres accordingly. Therefore autonomous cars are equipped with different sensor modalities to…
View article: Active Autonomous Aerial Exploration for Ground Robot Path Planning
Active Autonomous Aerial Exploration for Ground Robot Path Planning Open
We address the problem of planning a path for a ground robot through unknown terrain, using observations from a flying robot. In search and rescue missions, which are our target scenarios, the time from arrival at the disaster site to the …