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Found 14 papers, 7 papers with code
Evaluating Pedestrian Trajectory Prediction Methods with Respect to Autonomous Driving
In this paper, we assess the state of the art in pedestrian trajectory prediction within the context of generating single trajectories, a critical aspect aligning with the requirements in autonomous systems.
Germany's nationwide travel experiment in 2022: public transport for 9 Euro per month -- First findings of an empirical study
We observe this natural experiment with a three-wave survey and a smartphone-based travel diary with passive tracking on an initial sample of 2, 261 participants with a focus on the Munich metropolitan region.
RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception
However, the sparsity of radar point clouds and the poor data availability remain challenging for current perception methods.
Quantifying the LiDAR Sim-to-Real Domain Shift: A Detailed Investigation Using Object Detectors and Analyzing Point Clouds at Target-Level
Additional experiments reveal that this domain shift can be lowered by introducing a simple noise model in simulation.
A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 5 Insights into four months of mobility tracking
We observe this natural experiment with a three-wave survey and an app-based travel diary on a sample of hundreds of participants as well as an analysis of traffic counts.
A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 2 First wave results
We observe this natural experiment with a three-wave survey and an app-based travel diary on a sample of hundreds of participants as well as an analysis of traffic counts.
A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 1 Study design, recruiting and participation
In spring 2022, the German federal government agreed on a set of measures that aim at reducing households' financial burden resulting from a recent price increase, especially in energy and mobility.
Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits
It is capable of running simulations of up to eight autonomous vehicles in real time.
Radar Voxel Fusion for 3D Object Detection
This paper develops a low-level sensor fusion network for 3D object detection, which fuses lidar, camera, and radar data.
Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios
Trajectory planning at high velocities and at the handling limits is a challenging task.
Robotics Systems and Control Systems and Control
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM Extension
One fundamental building block of an autonomous vehicle is the ability to build a map of the environment and localize itself on such a map.
Exploring the Capabilities and Limits of 3D Monocular Object Detection -- A Study on Simulation and Real World Data
In this paper, we evaluate the performance of a 3D object detection pipeline which is parameterizable with different depth estimation configurations.
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection
Object detection in camera images, using deep learning has been proven successfully in recent years.
Minimum Race-Time Planning-Strategy for an Autonomous Electric Racecar
Increasing attention to autonomous passenger vehicles has also attracted interest in an autonomous racing series.
Systems and Control Systems and Control
