Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models.
Daniel BogdollJohannes JestramJonas RauchChristin ScheibMoritz WittigJ. Marius ZöllnerPublished in: CoRR (2021)
Keyphrases
- sensor data
- generative model
- autonomous vehicles
- sensor networks
- path planning
- obstacle avoidance
- probabilistic model
- real time
- discriminative learning
- deep belief networks
- sensor measurements
- discriminative models
- semi supervised
- em algorithm
- data streams
- prior knowledge
- robot control
- health monitoring
- multiagent systems
- hierarchical hidden markov models
- conditional random fields
- autonomous agents
- wireless sensor networks
- computer vision
- mobile robot
- deep learning
- unsupervised learning
- object recognition
- neural network
- data sets