Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Wolfgang Branz"'
Publikováno v:
ITSC
Simulation-based methods promise to be part of the solution to the challenge of validating highly automated driving functions (ADF). However, the application of simulations introduces a variety of problems itself. One of them is efficiency: When perf
Publikováno v:
ITSC
The release of highly automated driving functions requires a thorough validation of safety. In this paper, the recently introduced 3-circles model is recapitulated. Based on the 3-circles model, the possible areas of application of simulations to the
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
Automated driving road vehicles are to operate in an unstructured, public real-world environment. The openness of the operational design domain, the serious safety risk, the complexity of the system itself, as well as the regulatory situation pose a
Publikováno v:
Intelligent Vehicles Symposium
Autonomous emergency brake (AEB) systems have to decide on brake interventions based on an uncertain and incomplete perception of the environment. This paper analyses theoretical limitations in AEB systems caused by noisy sensor measurements and unce
Publikováno v:
SAE International Journal of Passenger Cars - Electronic and Electrical Systems. 3:154-161
Active safety systems will have a great impact in the next generation of vehicles. This is partly originated by the increasing consumer's interest for safety and partly by new traffic safety laws. Control actions in the vehicle are based on an extens
Publikováno v:
ATZ worldwide. 111:18-21
In the field of safety oriented driver assistance systems, there is the tendency to reduce accidents and their consequences by autonomous interventions in the driving process which are getting stronger and stronger. But this increase of the “effect
Publikováno v:
ATZextra. 13:60-65
Autor:
Jan Schumacher, Oliver F. Lange, J. Marius Zollner, Jan Erik Stellet, Wolfgang Branz, Frank Niewels
Publikováno v:
Intelligent Autonomous Systems 13 ISBN: 9783319083377
IAS
IAS
In this work, a statistical analysis of object detection for stereo vision-based driver assistance systems is presented. Analytic modelling has not been attempted previously due to the complexity of dense disparity maps and state-of-the-art algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e53b0c141a1caff9251eff26f4609902
https://doi.org/10.1007/978-3-319-08338-4_54
https://doi.org/10.1007/978-3-319-08338-4_54
Publikováno v:
ITSC
Vehicle motion models are employed in driver assistance systems for tracking and prediction tasks. For probabilistic decision making and uncertainty propagation, the prediction's inaccuracy is taken into account in the form of process noise. This wor
Publikováno v:
Intelligent Vehicles Symposium
Recognising the intended manoeuvres of other traffic participants is a crucial task for situation interpretation in driver assistance and autonomous driving. While many works propose algorithms for (computationally feasible) inference, much less atte