Search Results for author: Sascha Hornauer

Found 6 papers, 2 papers with code

GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving

no code implementations16 Nov 2021 Raphael Chekroun, Marin Toromanoff, Sascha Hornauer, Fabien Moutarde

Deep reinforcement learning (DRL) has been demonstrated to be effective for several complex decision-making applications such as autonomous driving and robotics.

CARLA MAP Leaderboard Continuous Control +1

Unsupervised Discriminative Learning of Sounds for Audio Event Classification

no code implementations19 May 2021 Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren

Recent progress in network-based audio event classification has shown the benefit of pre-training models on visual data such as ImageNet.

Classification Transfer Learning

BatVision with GCC-PHAT Features for Better Sound to Vision Predictions

1 code implementation14 Jun 2020 Jesper Haahr Christensen, Sascha Hornauer, Stella Yu

We improve on the previous model by introducing several changes to the model, which leads to a better depth and grayscale estimation, and increased perceptual quality.

Generative Adversarial Network

BatVision: Learning to See 3D Spatial Layout with Two Ears

1 code implementation15 Dec 2019 Jesper Haahr Christensen, Sascha Hornauer, Stella Yu

Inspired by bats' echolocation mechanism, we design a low-cost BatVision system that is capable of seeing the 3D spatial layout of space ahead by just listening with two ears.

Robot Navigation Vocal Bursts Valence Prediction

Fast Recurrent Fully Convolutional Networks for Direct Perception in Autonomous Driving

no code implementations17 Nov 2017 Yiqi Hou, Sascha Hornauer, Karl Zipser

Deep convolutional neural networks (CNNs) have been shown to perform extremely well at a variety of tasks including subtasks of autonomous driving such as image segmentation and object classification.

Autonomous Driving General Classification +2

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