Results 121 to 130 of about 69,372 (165)
Some of the next articles are maybe not open access.
Specifying Autonomous Driving Scenarios
2021 IEEE 29th International Requirements Engineering Conference Workshops (REW), 2021Defects in Autonomous driving systems (ADSs) might result in catastrophic losses of lives and properties. To avoid such defects, we need to first ensure high quality requirements, which highly possibly would lead to the delivery of high-quality ADSs.
Yue Yu, Tiexin Wang, Tao Yue 0002
openaire +1 more source
Addressing the uncertainties in autonomous driving
SIGSPATIAL Special, 2016Autonomous driving is a highly complex sensing and control problem. Today's vehicles may include many different compositions of sensor sets including the newer more sophisticated sensors like radar, cameras, and lidar. Each sensor in the car provides specific information about the environment at varying levels and has an inherent uncertainty and ...
Jane MacFarlane, Matei Stroila
openaire +1 more source
Intrusion-Tolerant Autonomous Driving
2018 IEEE 21st International Symposium on Real-Time Distributed Computing (ISORC), 2018Fully autonomous driving is one if not the killer application for the upcoming decade of real-time systems. However, in the presence of increasingly sophisticated attacks by highly skilled and well equipped adversarial teams, autonomous driving must not only guarantee timeliness and hence safety.
Marcus Völp +1 more
openaire +3 more sources
Autonomous Driving Car Competition
2019This paper presents the construction of an autonomous robot to participating in the autonomous driving competition of the National Festival of Robotics in Portugal, which relies on an open platform requiring basic knowledge of robotics, like mechanics, control, computer vision and energy management.
João Pedro Alves +4 more
openaire +2 more sources
Adaptive System for Autonomous Driving
2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C), 2018Avoiding faults in systems is of uttermost importance during system development. In case of autonomous systems this requirement becomes more important because of the fact that there is no human in the loop that can take over control after a fault. In this paper, we discuss a methodology allowing to implement a system that reacts on faults in a smart ...
Franz Wotawa, Martin Zimmermann 0007
openaire +1 more source
Technological Challenges in Autonomous Driving
Proceedings of the 1st International Workshop on Communication and Computing in Connected Vehicles and Platooning, 2018Automotive world is quickly moving towards another revolution of driverless cars. To realize this dream in large scale will see lots of challenges in terms of product development. In this talk, I would like to address different problems which automotive industry will have to face to make this a reality.
A. K. Prakash, Hrishikesh Venkataraman
openaire +1 more source
The ApolloScape Dataset for Autonomous Driving
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018Scene parsing aims to assign a class (semantic) label for each pixel in an image. It is a comprehensive analysis of an image. Given the rise of autonomous driving, pixel-accurate environmental perception is expected to be a key enabling technical piece.
Xinyu Huang 0001 +7 more
openaire +3 more sources
Computer Architectures for Autonomous Driving
Computer, 2017To enable autonomous driving, a computing stack must simultaneously ensure high performance, consume minimal power, and have low thermal dissipation—all at an acceptable cost. An architecture that matches workload to computing units and implements task time-sharing can meet these requirements.
Shaoshan Liu +3 more
openaire +1 more source
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
openaire +2 more sources
openaire +2 more sources

