no code implementations • 8 Feb 2024 • Raphael Chekroun, Han Wang, Jonathan Lee, Marin Toromanoff, Sascha Hornauer, Fabien Moutarde, Maria Laura Delle Monache
Accurate real-time traffic state forecasting plays a pivotal role in traffic control research.
no code implementations • 16 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.
Ranked #4 on CARLA MAP Leaderboard on CARLA
no code implementations • 19 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.
1 code implementation • 14 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.
1 code implementation • 15 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.
no code implementations • 17 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.