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PRANK takes rasterized bird-eye images of agent's surroundings as an input and extracts features of the scene with a convolutional neural network. It then produces the conditional distribution of agent's trajectories plausible in the given scene.
Oct 22, 2020 · PRANK takes rasterized bird-eye images of agent's surroundings as an input and extracts features of the scene with a convolutional neural network. It then produces the conditional distribution of agent's trajectories plausible in the given scene.
PRANK takes rasterized bird-eye images of agent's surroundings as an input and extracts features of the scene with a convolutional neural network. It then produces the conditional distribution of agent's trajectories plausible in the given scene.
Dec 17, 2020 · One of the approaches to future trajectory prediction we have developed is called PRANK, which stands for motion Prediction based on RANKing. We've published a paper summarizing our method at NeurIPS 2020.
The PRANK method is introduced, which takes rasterized bird-eye images of agent's surroundings as an input and extracts features of the scene with a convolutional neural network and produces the conditional distribution ofAgent's trajectories plausible in the given scene using nearest-neighbor methods in latent ...
To be useful within a real-time autonomous driving pipeline, a motion prediction system must provide efficient ways to describe and quantify this uncertainty, such as computing posterior modes and their probabilities or estimating density at the point corresponding to a given trajectory.
Summary and Contributions: The paper proposed an algorithm to produce trajectories likely to be adopted in real life scenarios. PRANK takes rasterized bird-eye images of agent's surroundings as an input and extracts features of the scene with a convolutional neural network.
Abstract: Predicting the motion of agents such as pedestrians or human-driven vehicles is one of the most critical problems in the autonomous driving domain. The overall safety of driving and the comfort of a passenger directly depend on its successful solution. The motion prediction problem also remains one of the ...
Prank: motion prediction based on ranking. Y Biktairov, M Stebelev, I Rudenko, O Shliazhko, B Yangel. Advances in neural information processing systems 33 ... Method for predicting a trajectory of an agent in a vicinity of a self-driving vehicle based on ranking. BK Yangel, YA Biktairov. US Patent App. 17/667,854 ...