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Testing predictive automated driving systems: lessons learned and future recommendations
Conventional vehicles are certified through classical approaches, where different physical certification tests are set up on test tracks to assess required safety levels.
Vehicle Ego-Lane Estimation with Sensor Failure Modeling
We present a probabilistic ego-lane estimation algorithm for highway-like scenarios that is designed to increase the accuracy of the ego-lane estimate, which can be obtained relying only on a noisy line detector and tracker.
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