Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks.
Julie DequaireDushyant RaoPeter OndruskaDominic Zeng WangIngmar PosnerPublished in: CoRR (2016)
Keyphrases
- recurrent neural networks
- recurrent networks
- real time
- cascade correlation
- feedforward neural networks
- learning algorithm
- learning process
- long short term memory
- learning tasks
- prior knowledge
- feed forward
- echo state networks
- kalman filter
- short term
- particle filtering
- mean shift
- vehicle detection
- real time tracking
- traffic surveillance
- reinforcement learning
- reservoir computing
- machine learning