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Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance
We demonstrate the capabilities of an attention-based end-to-end approach for high-speed quadrotor obstacle avoidance in dense, cluttered environments, with comparison to various state-of-the-art architectures.
Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network
This paper attempts to solve the problem of Spatio-temporal look-ahead trajectory prediction using a novel recurrent neural network called the Memory Neuron Network.
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