Picture for Tobias Fleck

Tobias Fleck

A Survey on Intermediate Fusion Methods for Collaborative Perception Categorized by Real World Challenges

Add code
Apr 28, 2024
Figure 1 for A Survey on Intermediate Fusion Methods for Collaborative Perception Categorized by Real World Challenges
Figure 2 for A Survey on Intermediate Fusion Methods for Collaborative Perception Categorized by Real World Challenges
Figure 3 for A Survey on Intermediate Fusion Methods for Collaborative Perception Categorized by Real World Challenges
Figure 4 for A Survey on Intermediate Fusion Methods for Collaborative Perception Categorized by Real World Challenges
Viaarxiv icon

CoCar NextGen: a Multi-Purpose Platform for Connected Autonomous Driving Research

Add code
Apr 26, 2024
Figure 1 for CoCar NextGen: a Multi-Purpose Platform for Connected Autonomous Driving Research
Figure 2 for CoCar NextGen: a Multi-Purpose Platform for Connected Autonomous Driving Research
Figure 3 for CoCar NextGen: a Multi-Purpose Platform for Connected Autonomous Driving Research
Figure 4 for CoCar NextGen: a Multi-Purpose Platform for Connected Autonomous Driving Research
Viaarxiv icon

One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level

Add code
Apr 03, 2024
Figure 1 for One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level
Figure 2 for One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level
Figure 3 for One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level
Figure 4 for One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level
Viaarxiv icon

Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception

Add code
Nov 02, 2022
Figure 1 for Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception
Figure 2 for Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception
Figure 3 for Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception
Figure 4 for Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception
Viaarxiv icon