Machine learning method to ensure robust decision-making of AVs
Replacing the human driver to perform the Dynamic Driving Task (DDT)[1] will require
perception, complex analysis and assessment of traffic situation. The path leading to …
perception, complex analysis and assessment of traffic situation. The path leading to …
Exploration of issues, challenges and latest developments in autonomous cars
B Padmaja, CHV Moorthy, N Venkateswarulu… - Journal of Big Data, 2023 - Springer
Autonomous cars have achieved exceptional growth in the automotive industry in the last
century in terms of reliability, safety and affordability. Due to significant advancements in …
century in terms of reliability, safety and affordability. Due to significant advancements in …
Deep learning for driverless vehicles
Automation is becoming a large component of many industries in the 21st century, in areas
ranging from manufacturing, communications and transportation. Automation has offered …
ranging from manufacturing, communications and transportation. Automation has offered …
Simulation and its contribution to evaluate highly automated driving functions
A key criterion for launching autonomous vehicles on real roads is the knowledge of their
capability to ensure traffic safety. In contrast to ADAS, deriving this measure of safety is …
capability to ensure traffic safety. In contrast to ADAS, deriving this measure of safety is …
Autonomous vehicles: state of the art, future trends, and challenges
Autonomous vehicles are considered to be the next big thing. Several companies are racing
to put self-driving vehicles on the road by 2020. Regulations and standards are not ready for …
to put self-driving vehicles on the road by 2020. Regulations and standards are not ready for …
[PDF][PDF] Constraint Systems from Traffic Scenarios for the Validation of Autonomous Driving.
A Eggers, M Stasch, T Teige, T Bienmüller… - SC-Square …, 2018 - ceur-ws.org
One does not need the gift of clairvoyance to predict that in the near future autonomously
driving cars will occupy a significant place in our everyday life. In fact, in designated and …
driving cars will occupy a significant place in our everyday life. In fact, in designated and …
A survey of deep learning applications to autonomous vehicle control
Designing a controller for autonomous vehicles capable of providing adequate performance
in all driving scenarios is challenging due to the highly complex environment and inability to …
in all driving scenarios is challenging due to the highly complex environment and inability to …
[图书][B] Deep neural networks and data for automated driving: Robustness, uncertainty quantification, and insights towards safety
This open access book brings together the latest developments from industry and research
on automated driving and artificial intelligence. Environment perception for highly automated …
on automated driving and artificial intelligence. Environment perception for highly automated …
Deep Learning Based Self Driving Cars Using Computer Vision
S Bhaggiaraj, M Priyadharsini… - … on Networking and …, 2023 - ieeexplore.ieee.org
Autonomous driving is a prominent topic in the fields of artificial intelligence and machine
learning, with several studies being undertaken in order to bring driverless vehicles to the …
learning, with several studies being undertaken in order to bring driverless vehicles to the …