Add to ORKGIn this contribution, we propose an system setup for the detection andclassification of objects in autonomous driving applications. The recognition algo-rithm is based upon deep neural networks, operating in the 2D image domain. Theresults are combined with data of a stereo camera system to finally incorporatethe 3D object information into our mapping framework. The detection systemis locally running upon the onboard CPU of the vehicle. Several network archi-tectures are implemented and evaluated with respect to accuracy and run-timedemands for the given camera and hardware setup
Abstract—Future cars are anticipated to be driverless; point-to-point transportation services capabl...
The advent of deep learning for object detection has led to a wave of new ways for autonomous object...
Nowadays, the people irresponsibility and incorrect behaviours are pointed out as the main cause of ...
Nowadays, autonomous driving is a trending topic in the automotive field. One of the most crucial cha...
Stereo cameras are crucial sensors for self-driving vehicles as they are low-cost and can be used to...
In this paper, we propose an efficient approach to perform recognition and 3D localization of dynami...
AbstractTraditional autonomous navigation systems for transportation use laser range scanners to con...
The rapid development of Autonomous Vehicles (AVs) increases the requirement for the accurate predic...
One key task of the environment perception pipeline for autonomous driving is object detection using...
In this paper, we present a deep neural network based real-time integrated framework to detect objec...
A thesis Submitted in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE in...
Self-driving systems are commonly categorized into three subsystems: perception, planning, and contr...
In a cooperative automated driving scenario like platooning, the ego vehicle needs reliable and accu...
3D object detection from images, one of the fundamental and challenging problems in autonomous drivi...
Object detection performed by Autonomous Vehicles (AV)s is a crucial operation that comes ahead of v...
Abstract—Future cars are anticipated to be driverless; point-to-point transportation services capabl...
The advent of deep learning for object detection has led to a wave of new ways for autonomous object...
Nowadays, the people irresponsibility and incorrect behaviours are pointed out as the main cause of ...
Nowadays, autonomous driving is a trending topic in the automotive field. One of the most crucial cha...
Stereo cameras are crucial sensors for self-driving vehicles as they are low-cost and can be used to...
In this paper, we propose an efficient approach to perform recognition and 3D localization of dynami...
AbstractTraditional autonomous navigation systems for transportation use laser range scanners to con...
The rapid development of Autonomous Vehicles (AVs) increases the requirement for the accurate predic...
One key task of the environment perception pipeline for autonomous driving is object detection using...
In this paper, we present a deep neural network based real-time integrated framework to detect objec...
A thesis Submitted in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE in...
Self-driving systems are commonly categorized into three subsystems: perception, planning, and contr...
In a cooperative automated driving scenario like platooning, the ego vehicle needs reliable and accu...
3D object detection from images, one of the fundamental and challenging problems in autonomous drivi...
Object detection performed by Autonomous Vehicles (AV)s is a crucial operation that comes ahead of v...
Abstract—Future cars are anticipated to be driverless; point-to-point transportation services capabl...
The advent of deep learning for object detection has led to a wave of new ways for autonomous object...
Nowadays, the people irresponsibility and incorrect behaviours are pointed out as the main cause of ...