Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Gunther Krehl"'
Autor:
Li Zhang, Faezeh Tafazzoli, Gunther Krehl, Runsheng Xu, Timo Rehfeld, Manuel Schier, Arunava Seal
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa96b9b1ea7448ea291467c1bd8939ea
https://doi.org/10.1109/iros47612.2022.9981820
https://doi.org/10.1109/iros47612.2022.9981820
Autor:
Andrei Vatavu, Sagar Ravi Bhavsar, Gunther Krehl, Janis Peukert, Suresh Govindachar, Abhishek Mantha, Manuel Schier, Melissa Rahm, Michael Maile
Publikováno v:
IEEE Intelligent Transportation Systems Magazine. 12:149-168
One of the indispensable functions of a self-driving vehicle is to estimate its dynamic world, which includes various traffic participants within complex driving scenarios. The estimation mechanism has to be flexible, fast, and robust; however, achie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ed991a642c736349a8ccd7357808f4c
https://doi.org/10.1109/mits.2020.3014428
https://doi.org/10.1109/mits.2020.3014428
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
High-Definition (HD) Maps are indispensable components of an autonomous vehicle software stack, containing a precise representation of the static surroundings. Prediction, motion planning and vehicle behavior heavily rely on the accuracy of the HD Ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bca2c60da380f6a896a2eacadfced0f
https://doi.org/10.1109/iv47402.2020.9304535
https://doi.org/10.1109/iv47402.2020.9304535
Publikováno v:
ICPR
Intersection scenarios provide the most complex traffic situations in Autonomous Driving and Driving Assistance Systems. Knowing where to stop in advance in an intersection is an essential parameter in controlling the longitudinal velocity of the veh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aff25f7a30c2ccfbc8ff892153847a38
http://arxiv.org/abs/2009.09093
http://arxiv.org/abs/2009.09093
Autor:
Gunther Krehl, Markus Thom, Dominik Nuss, Stephan Reuter, Klaus Dietmayer, Ting Yuan, Michael Maile, Axel Gern
Grid mapping is a well-established approach for environment perception in robotic and automotive applications. Early work suggests estimating the occupancy state of each grid cell in a robot’s environment using a Bayesian filter to recursively comb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7eabff876da47b655476e64c70d47070
Publikováno v:
CAMSAP
Using probabilistic reasoning to model and perceive driving environments is a challenging problem due to both geometric and dynamic random natures. The occupancy grid system, providing an intermediate representation for complicated environments and h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f89057f09e8606b3c103ae4eb425e993
https://doi.org/10.1109/camsap.2015.7383759
https://doi.org/10.1109/camsap.2015.7383759
Publikováno v:
Intelligent Vehicles Symposium
Occupancy grid mapping is a well-known environment perception approach. A grid map divides the environment into cells and estimates the occupancy probability of each cell based on sensor measurements. An important extension is the Bayesian occupancy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbf20ce3f86046b9257ec4dbf1e5dc32
https://doi.org/10.1109/ivs.2015.7225827
https://doi.org/10.1109/ivs.2015.7225827