Skip to main content

C++-accelerated Frenet Trajectory Planning Handler

Project description

DOI

Frenetix: C++-accelerated Trajectory Planning in a Frenét Frame

A Python library to sample polynomial trajectories in a curvilinear coordinate system and evaluate them for feasibility and cost.

For background and rationale, see the following paper: M. Werling, J. Ziegler, S. Kammel and S. Thrun, "Optimal trajectory generation for dynamic street scenarios in a Frenét Frame," 2010 IEEE International Conference on Robotics and Automation, Anchorage, AK, USA, 2010, pp. 987-993, doi: 10.1109/ROBOT.2010.5509799.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

frenetix-0.1.7.tar.gz (82.8 kB view details)

Uploaded Source

Built Distributions

frenetix-0.1.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.7 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

frenetix-0.1.7-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (3.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ i686

frenetix-0.1.7-cp312-cp312-macosx_10_9_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.12 macOS 10.9+ x86-64

frenetix-0.1.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

frenetix-0.1.7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (3.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

frenetix-0.1.7-cp311-cp311-macosx_10_9_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

frenetix-0.1.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

frenetix-0.1.7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (3.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

frenetix-0.1.7-cp310-cp310-macosx_10_9_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

frenetix-0.1.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

frenetix-0.1.7-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (3.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

frenetix-0.1.7-cp39-cp39-macosx_10_9_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

frenetix-0.1.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

frenetix-0.1.7-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (3.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

frenetix-0.1.7-cp38-cp38-macosx_10_9_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

File details

Details for the file frenetix-0.1.7.tar.gz.

File metadata

  • Download URL: frenetix-0.1.7.tar.gz
  • Upload date:
  • Size: 82.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for frenetix-0.1.7.tar.gz
Algorithm Hash digest
SHA256 33f4fff77a3b68c304757942fb4e52120c8049ab2efadeac78da4bab5de096c4
MD5 95e8e4f1a3efd0f4b92fc36c4736637e
BLAKE2b-256 6f2ab92d747f0e54b04afb294ba5b90b1da299b4c5d481cc0f160858e57df1b3

See more details on using hashes here.

File details

Details for the file frenetix-0.1.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for frenetix-0.1.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6334f7bb2b197cbbb121f7883a4ced022b4c2bc0c21c2f8c004265b19a75bf37
MD5 122eb0349bca54bf591ce8bc16f1eb81
BLAKE2b-256 1bf52087e616db90e692d57e66e6cfa3d80a7027463901194ac643a3c66c4427

See more details on using hashes here.

File details

Details for the file frenetix-0.1.7-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for frenetix-0.1.7-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2dbb0a1e5abb6db4e033da00f01c82781c2ac99856ba766e0a42c9048f56f3b0
MD5 294cc92f0069145cadec1010bcf72ef9
BLAKE2b-256 d224ed441cd7b53be3bf1eac1658f84716b388ea2f0b130598ee8d99815e4fb8

See more details on using hashes here.

File details

Details for the file frenetix-0.1.7-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for frenetix-0.1.7-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2114aa8e04839f9adea8b6f1f610f5fbde7218f5d49966de1c20f1a9fda5f98b
MD5 bce2a9c0bacc758ea79deba397d97d39
BLAKE2b-256 456ed922c657457a97de0cb165f100148ee85dd141bcbd29064dd88fc26dd5f7

See more details on using hashes here.

File details

Details for the file frenetix-0.1.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for frenetix-0.1.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 14a04e525a4cc25a0c0514f77e9673a346fd0f19926dd349e053b81d92c82489
MD5 bb6d050468626ac05ca6acd4d959be30
BLAKE2b-256 317c2469b02a7ba2c6cb198ce27a821e3f6bdc471d409b52fc08d3275234f32a

See more details on using hashes here.

File details

Details for the file frenetix-0.1.7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for frenetix-0.1.7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1725b33d74275217ebb22fe47d2c928410c4bae65c5471953f677c6f377053a6
MD5 c02e868a18b23f2f0967d8e75f1ee5f5
BLAKE2b-256 fe3be88f93bee649a5791054dd6232bfde010e3806eb0c262dd87ce83674d24e

See more details on using hashes here.

File details

Details for the file frenetix-0.1.7-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for frenetix-0.1.7-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fb9840bf6ddcdc11cd972b105200dd48f55aae8afc2a1cd9c78c91f9ff658409
MD5 42ebf855a299848c28ccb73037ea90c6
BLAKE2b-256 0c88f299475a2165946751427fd930c720dbb118287e39b0090be5ab8708ea72

See more details on using hashes here.

File details

Details for the file frenetix-0.1.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for frenetix-0.1.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 72c94b6255ebb40411c8c6dc329668b62c623620c127907ee9690a7b6d31cb0d
MD5 f1cef8bed3df9e2ffc800a5b3002708e
BLAKE2b-256 3ef1b835bd433a594894d53c743f5c8a75d18d6bdc87ab01ff4aeae38efc16ac

See more details on using hashes here.

File details

Details for the file frenetix-0.1.7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for frenetix-0.1.7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 4096d89a3e0e5bb5478d0a2f885891c8f178b13a1926736c9b7e4a0e85a50834
MD5 a34b52673466453c2b2a14d926d75852
BLAKE2b-256 88e80a6ca9d180cebace9aa83f0aeda79352e70741a6a2e10197270e9ab4d158

See more details on using hashes here.

File details

Details for the file frenetix-0.1.7-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for frenetix-0.1.7-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 711569aea43f32605deb8c4936034c6f76c58c7f6de4c6ca6bf0fc19b5a7f1b9
MD5 e2749c8da70adff8366cdbe0441fe57f
BLAKE2b-256 d5ba64792cc1590730f66b3ef1207882adae789663865f2e47d8c93a708a00c9

See more details on using hashes here.

File details

Details for the file frenetix-0.1.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for frenetix-0.1.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2675e0d5f85923c2cbb220dfd9a36ee21ab67f92eeb3efabfbea61de9f275836
MD5 0f08fe796b41be353783146503eafa5a
BLAKE2b-256 94bde2e5400778d5c641993e8731cea31420e4b3a280d4d36a4c64857ceb097e

See more details on using hashes here.

File details

Details for the file frenetix-0.1.7-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for frenetix-0.1.7-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 9f3ea4f8f85a9938d3794bfd0094687a5d4085f9f57690f4269baaefcaf28fef
MD5 bd96c33eba88dd0bf6ce8a8dd66decab
BLAKE2b-256 3ad1132964dec794a7bfaaf63f6c32e846ebed5bf027d0d6685f45d260ff2ec8

See more details on using hashes here.

File details

Details for the file frenetix-0.1.7-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for frenetix-0.1.7-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2b5e705da915c067f6c68515060c41830dc116c7a71df6c0acd056833d15af31
MD5 bc92b3867840c750a95e760fbcd7019e
BLAKE2b-256 0ed79e7b401d49f42492f709f50f34f64389b62561961820c919d812e048d888

See more details on using hashes here.

File details

Details for the file frenetix-0.1.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for frenetix-0.1.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d0175f23535f70e1f1c8be03b806b38be0b480fdbb2e6125e68f2f4d322784ad
MD5 97667fbd55346a22be3f77bf85c6d891
BLAKE2b-256 b9fa44c6fc47c2ab1f3ee17b625123fabb3473df4b0cf32e76e57cb5ce4003c8

See more details on using hashes here.

File details

Details for the file frenetix-0.1.7-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for frenetix-0.1.7-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 38efb5066043eb9e2a23a660b1cea89fe136e22cba92f58f047e3c8220f9018d
MD5 11c895c1f206191e9908b2114a050717
BLAKE2b-256 b690131e75be7b4ae0f210d2b44feb1d2ecd4def708838408f92903ee579133f

See more details on using hashes here.

File details

Details for the file frenetix-0.1.7-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for frenetix-0.1.7-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9cbebb435bcf647ac395f4b93df5c6029ce3813354d076feea5263e1a5a0edc6
MD5 065507ca46933b812e3e6a04af7c3892
BLAKE2b-256 73d3604bfeb7331627b04a50eab0771f8f4a81d952115a820efb98a2995fad04

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page