sample_planning 0.0.4

Sample Based Planner
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90

# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO
#
# When uploading crates to the registry Cargo will automatically
# "normalize" Cargo.toml files for maximal compatibility
# with all versions of Cargo and also rewrite `path` dependencies
# to registry (e.g., crates.io) dependencies
#
# If you believe there's an error in this file please file an
# issue against the rust-lang/cargo repository. If you're
# editing this file be aware that the upstream Cargo.toml
# will likely look very different (and much more reasonable)

[package]
edition = "2018"
name = "sample_planning"
version = "0.0.4"
authors = ["Yuan Liu <yuan6liu@gmail.com>"]
description = "Sample Based Planner"
documentation = "https://docs.rs/crate/sample_planning/"
readme = "README.md"
keywords = ["planning", "sample", "rrt", "sst"]
license = "MIT"
repository = "https://github.com/clearlycloudy/sample_planning/"

[[bin]]
name = "planner"
path = "src/main.rs"

[[bin]]
name = "gen_obs"
path = "gen_obs/main.rs"

[[bin]]
name = "map2poly"
path = "map2poly/main.rs"
[dependencies.chrono]
version = "0.4"

[dependencies.clap]
version = "2.32"

[dependencies.kiss3d]
version = "0.20.1"

[dependencies.log]
version = "0.4.6"

[dependencies.mazth]
version = "0.5.0"

[dependencies.nalgebra]
version = "0.18.0"

[dependencies.ncollide3d]
version = "0.19.2"

[dependencies.pretty_env_logger]
version = "0.3"

[dependencies.rand]
version = "0.6.5"

[dependencies.rayon]
version = "1.0.3"

[dependencies.serde]
version = "1.0"
features = ["derive"]

[dependencies.serde_json]
version = "1.0"

[dependencies.zpatial]
version = "0.3.3"

[features]
airplane = []
batch_propagate_sample = []
disable_pruning = []
disable_witness_disturbance = []
gen_obs_3d = []
mo_prim_debug = []
mo_prim_thresh_high = []
mo_prim_thresh_low = []
motion_primitives = []
nn_naive = []
nn_sample_log = []
path_optimize = []
runge_kutta = []
state_propagate_sample = []