Picture for Christoph Stiller

Christoph Stiller

Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by Learning Features in Complementary Representations

Add code
Mar 02, 2022
Figure 1 for Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by Learning Features in Complementary Representations
Figure 2 for Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by Learning Features in Complementary Representations
Figure 3 for Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by Learning Features in Complementary Representations
Figure 4 for Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by Learning Features in Complementary Representations
Viaarxiv icon

Large-Scale 3D Semantic Reconstruction for Automated Driving Vehicles with Adaptive Truncated Signed Distance Function

Add code
Feb 28, 2022
Figure 1 for Large-Scale 3D Semantic Reconstruction for Automated Driving Vehicles with Adaptive Truncated Signed Distance Function
Figure 2 for Large-Scale 3D Semantic Reconstruction for Automated Driving Vehicles with Adaptive Truncated Signed Distance Function
Figure 3 for Large-Scale 3D Semantic Reconstruction for Automated Driving Vehicles with Adaptive Truncated Signed Distance Function
Figure 4 for Large-Scale 3D Semantic Reconstruction for Automated Driving Vehicles with Adaptive Truncated Signed Distance Function
Viaarxiv icon

TEScalib: Targetless Extrinsic Self-Calibration of LiDAR and Stereo Camera for Automated Driving Vehicles with Uncertainty Analysis

Add code
Feb 28, 2022
Figure 1 for TEScalib: Targetless Extrinsic Self-Calibration of LiDAR and Stereo Camera for Automated Driving Vehicles with Uncertainty Analysis
Figure 2 for TEScalib: Targetless Extrinsic Self-Calibration of LiDAR and Stereo Camera for Automated Driving Vehicles with Uncertainty Analysis
Figure 3 for TEScalib: Targetless Extrinsic Self-Calibration of LiDAR and Stereo Camera for Automated Driving Vehicles with Uncertainty Analysis
Figure 4 for TEScalib: Targetless Extrinsic Self-Calibration of LiDAR and Stereo Camera for Automated Driving Vehicles with Uncertainty Analysis
Viaarxiv icon

DA-LMR: A Robust Lane Markings Representation for Data Association Methods

Add code
Nov 17, 2021
Figure 1 for DA-LMR: A Robust Lane Markings Representation for Data Association Methods
Figure 2 for DA-LMR: A Robust Lane Markings Representation for Data Association Methods
Figure 3 for DA-LMR: A Robust Lane Markings Representation for Data Association Methods
Figure 4 for DA-LMR: A Robust Lane Markings Representation for Data Association Methods
Viaarxiv icon

Modeling dynamic target deformation in camera calibration

Add code
Oct 14, 2021
Figure 1 for Modeling dynamic target deformation in camera calibration
Figure 2 for Modeling dynamic target deformation in camera calibration
Figure 3 for Modeling dynamic target deformation in camera calibration
Figure 4 for Modeling dynamic target deformation in camera calibration
Viaarxiv icon

Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization

Add code
Aug 18, 2021
Figure 1 for Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization
Figure 2 for Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization
Figure 3 for Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization
Figure 4 for Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization
Viaarxiv icon

Inferring bias and uncertainty in camera calibration

Add code
Jul 28, 2021
Figure 1 for Inferring bias and uncertainty in camera calibration
Figure 2 for Inferring bias and uncertainty in camera calibration
Figure 3 for Inferring bias and uncertainty in camera calibration
Figure 4 for Inferring bias and uncertainty in camera calibration
Viaarxiv icon

Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning

Add code
Jul 15, 2021
Figure 1 for Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning
Figure 2 for Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning
Figure 3 for Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning
Figure 4 for Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning
Viaarxiv icon

MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding

Add code
Jul 01, 2021
Figure 1 for MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding
Figure 2 for MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding
Figure 3 for MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding
Figure 4 for MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding
Viaarxiv icon

Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems

Add code
May 14, 2021
Figure 1 for Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems
Figure 2 for Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems
Figure 3 for Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems
Viaarxiv icon