000 | 03725nam a22005655i 4500 | ||
---|---|---|---|
001 | 978-3-658-21954-3 | ||
003 | DE-He213 | ||
005 | 20220801215822.0 | ||
007 | cr nn 008mamaa | ||
008 | 180419s2018 gw | s |||| 0|eng d | ||
020 |
_a9783658219543 _9978-3-658-21954-3 |
||
024 | 7 |
_a10.1007/978-3-658-21954-3 _2doi |
|
050 | 4 | _aTJ212-225 | |
050 | 4 | _aTJ210.2-211.495 | |
072 | 7 |
_aTJFM _2bicssc |
|
072 | 7 |
_aTEC037000 _2bisacsh |
|
072 | 7 |
_aTJFM _2thema |
|
082 | 0 | 4 |
_a629.8 _223 |
100 | 1 |
_aHeinrich, Steffen. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _946637 |
|
245 | 1 | 0 |
_aPlanning Universal On-Road Driving Strategies for Automated Vehicles _h[electronic resource] / _cby Steffen Heinrich. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aWiesbaden : _bSpringer Fachmedien Wiesbaden : _bImprint: Springer, _c2018. |
|
300 |
_aXV, 133 p. 59 illus., 25 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aAutoUni – Schriftenreihe, _x2512-1154 ; _v119 |
|
505 | 0 | _aA Framework for Universal Driving Strategy Planning -- Sampling-Based Planning in Phase Space -- A Universal Approach for Driving Strategies -- Modeling Ego Motion Uncertainty. | |
520 | _aSteffen Heinrich describes a motion planning system for automated vehicles. The planning method is universally applicable to on-road scenarios and does not depend on a high-level maneuver selection automation for driving strategy guidance. The author presents a planning framework using graphics processing units (GPUs) for task parallelization. A method is introduced that solely uses a small set of rules and heuristics to generate driving strategies. It was possible to show that GPUs serve as an excellent enabler for real-time applications of trajectory planning methods. Like humans, computer-controlled vehicles have to be fully aware of their surroundings. Therefore, a contribution that maximizes scene knowledge through smart vehicle positioning is evaluated. A post-processing method for stochastic trajectory validation supports the search for longer-term trajectories which take ego-motion uncertainty into account. Contents A Framework for Universal Driving Strategy Planning Sampling-Based Planning in Phase Space A Universal Approach for Driving Strategies Modeling Ego Motion Uncertainty Target Groups Scientists and students in the field of robotics, computer science, mechanical engineering Engineers in the field of vehicle automation, intelligent systems and robotics About the Author Steffen Heinrich has a strong background in robotics and artificial intelligence. Since 2009 he has been developing algorithms and software components for self-driving systems in research facilities and for automakers in Germany and the US. | ||
650 | 0 |
_aControl engineering. _931970 |
|
650 | 0 |
_aRobotics. _92393 |
|
650 | 0 |
_aAutomation. _92392 |
|
650 | 0 |
_aArtificial intelligence. _93407 |
|
650 | 0 |
_aNumerical analysis. _94603 |
|
650 | 1 | 4 |
_aControl, Robotics, Automation. _931971 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aNumerical Analysis. _94603 |
710 | 2 |
_aSpringerLink (Online service) _946638 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783658219536 |
776 | 0 | 8 |
_iPrinted edition: _z9783658219550 |
830 | 0 |
_aAutoUni – Schriftenreihe, _x2512-1154 ; _v119 _946639 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-658-21954-3 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
_c77894 _d77894 |