########## Dataset Settings ##########
mode: 'create' # can be 'create' or 'replace'
# When mode is 'create' the following settings denote the number of scenes
# that should be generated for each set and for each map.
train_scene_config:
Town01: 2
Town02: 2
Town03: 2
Town04: 2
Town05: 2
Town06: 2
Town07: 2
Town10HD: 2
Town12: 2
Town13: 2
Town15: 2
val_scene_config:
Town01: 1
Town02: 1
Town03: 1
Town04: 1
Town05: 1
Town06: 1
Town07: 1
Town10HD: 1
Town12: 1
Town13: 1
Town15: 1
test_scene_config:
Town01: 1
Town02: 1
Town03: 1
Town04: 1
Town05: 1
Town06: 1
Town07: 1
Town10HD: 1
Town12: 1
Town13: 1
Town15: 1
# When mode is 'replace' the following setting denotes the list of scenes that
# should be overwritten.
scene_config: []
########## Simulation Settings ##########
# The following settings determine what vehicle to use as the ego vehicle and
# its color.
vehicle: 'mustang_2016' # any vehicle within the CARLA library, preferably a
# sedan as others may interfere with data collection
# and require moving the sensors
vehicle_color: '0,0,0' # color in 'R,G,B' format, values between 0 and 255
# The following settings determine whether to simulate physics for vehicles
# and whether to show debug telemetry on the spectator view.
simulate_physics: True
show_debug_telemetry: False
# Because all vehicles and pedestrians are spawned in a stationary state, for
# each scene the simulation is first run for a certain number of seconds for
# everyone to get up to speed and then data is collected and saved for the
# rest of the scene.
warmup_duration: 4 # warmup duration in seconds
scene_duration: 16 # data collection duration in seconds
# Basic CARLA settings.
host: 'localhost' # IP address of the CARLA server
timeout: 80.0 # timeout in seconds, it is large to accomodate loading the
# large maps (Town12 and Town13).
timestep: 0.05 # simulation time step in seconds
show_display: True # whether to show the spectator view
resolution_x: 1920 # spectator view width
resolution_y: 1080 # spectator view height
quality_level: 'Epic' # graphics quality level of the simulation, can be
# 'Low', 'Medium', and 'Epic'
retries_on_error: 10 # number of retries for the client to connect to the
# server in case of an error
# The following settings are used in large maps (Town12 and Town13) to manage
# the environment efficiently.
tile_stream_distance: 800.0 # configures the maximum distance from the ego
# vehicle to stream tiled maps; regions of the map
# within this range will be visible (and capable
# of simulating physics); regions outside this
# range will not be loaded
actor_active_distance: 800.0 # configures the maximum distance from the ego
# vehicle to convert actors to dormant; actors
# within this range will be active, and actors
# outside it will become dormant
# The following settings are used to control how waypoints are generated and
# filtered to create the road ground truth efficiently.
waypoint_distance: 0.4 # distance between waypoints generated from the
# OpenDRIVE map in meters; A good rule of thumb is to
# set this to the same value as bev_res
waypoint_area_radius: 800.0 # For improved performance, especially in large
# maps, at the start of each scene only waypoints
# within this radius of the ego vehicle are kept
# and the rest are discarded; a good rule of thumb
# is to set this value to
# 40 * (warmup_duration + scene_duration);
# essentially the farthest distance the ego
# vehicle can theoretically travel in the scene at
# 40 m/s
nearby_waypoint_area_radius: 120.0 # Of the remaining waypoints, every 0.5
# simulation seconds waypoints within this
# radius of the ego vehicle are selected to
# calculate the road ground truth; a good
# rule of thumb is to set this value to
# around 20 + (bev_dim * bev_res) / sqrt(2)
# The following setting controls the distance between waypoints generated
# from the OpenDRIVE map and used as spawn points for vehicles, instead of the
# default spawn points.
spawn_point_separation_distance: 24.0 # distance in meters
# The following setting controls the radius around the ego vehicle within
# which object bounding boxes are collected.
bbox_collection_radius: 120.0 # radius in meters
# The following setting controls the radius around the ego vehicle within
# which other vehicles and pedestrians are spawned. This should not be bigger
# than the smaller of tile_stream_distance and actor_active_distance;
# otherwise CARLA can segfault. A good rule of thumb is to set this value to
# around half of waypoint_area_radius.
npc_spawn_radius: 400.0 # radius in meters
# The following settings control the size and resolution of the bird's-eye
# view (BEV) image.
bev_dim: 360 # height and width of the BEV image in pixels
bev_res: 0.4 # resolution of the BEV image in meters per pixel
# The following settings control the percentage (0 to 100) chance of vehicles
# ignoring traffic lights, signs, other vehicles, and pedestrians at each time
# step.
ignore_lights_percentage: 0.1
ignore_signs_percentage: 0.1
ignore_vehicles_percentage: 0.1
ignore_walkers_percentage: 0.1
# The following setting controls the percentage (0 to 100) chance of some or
# all doors of a stopped vehicle (e.g. at a traffic light) opening. It only
# applies to supported vehicles (ones with articulated doors), and all doors
# are closed when the vehicle starts moving again.
door_open_percentage: 10.0
# The following setting controls the percentage (0 to 100) chance of an
# emergency vehicle (police, ambulance, fire truck) having its lights on.
emergency_lights_percentage: 50.0
# The following settings control whether, and the percentage (0 to 100) chance
# of, the ego vehicle driving recklessly, completely ignoring traffic lights,
# signs, other vehicles, and pedestrians.
reckless_ego: True
reckless_ego_percentage: 1.0
# The following settings control whether, and the percentage (0 to 100) chance
# of, other vehicles driving recklessly, completely ignoring traffic lights,
# signs, other vehicles, and pedestrians.
reckless_npc: True
reckless_npc_percentage: 1.0
# The following setting controls the number of attempts to spawn a pedestrian.
walker_spawn_attempts: 100
# The following setting controls the minimum speed of a pedestrian.
walker_speed_min: 0.8 # speed in meters per second
# The following setting controls whether to randomize the color of building
# lights. Does not work in Town12, Town13, or Town15.
random_building_light_colors: True
# The following settings control whether to randomly add to or subtract a
# constant value from the intensity of all street lights, and the minimum
# intensity of each street light.
change_street_light_intensity: True
min_street_light_intensity: 10000 # intensity in lumens
# The following settings control whether, and the percentage (0 to 100) chance
# of, a street light being turned off.
random_street_light_failure: True
street_light_failure_percentage: 10.0
# The following settings control whether to turn off all building and street
# lights.
turn_off_building_lights: False
turn_off_street_lights: False
# The following setting controls whether to use our custom palette or the
# Cityscapes palette for visualizing the BEV ground truth.
use_cityscapes_palette: False
########## Sensor Settings ##########
# Sensor properties supported by CARLA but not included here can be added
# to the properties of the respective sensor as well.
# The following settings control whether to use RGB cameras, and if so, the
# resolution and properties of the cameras.
use_rgb_camera: True
rgb_camera_width: 1600 # image width in pixels
rgb_camera_height: 900 # image height in pixels
rgb_camera_properties:
fov: '80' # field of view in degrees
fstop: '1.8'
# The following settings control whether to use semantic segmentation cameras,
# and if so, the resolution and properties of the cameras.
use_semantic_camera: True
semantic_camera_width: 1600 # image width in pixels
semantic_camera_height: 900 # image height in pixels
semantic_camera_properties:
fov: '80' # field of view in degrees
# The following settings control whether to use instance segmentation cameras,
# and if so, the resolution and properties of the cameras.
use_instance_camera: True
instance_camera_width: 1600 # image width in pixels
instance_camera_height: 900 # image height in pixels
instance_camera_properties:
fov: '80' # field of view in degrees
# The following settings control whether to use depth cameras, and if so, the
# resolution and properties of the cameras.
use_depth_camera: True
depth_camera_width: 1600 # image width in pixels
depth_camera_height: 900 # image height in pixels
depth_camera_properties:
fov: '80' # field of view in degrees
# The following settings control whether to use optical flow cameras, and if
# so, the resolution and properties of the cameras.
use_flow_camera: True
flow_camera_width: 1600
flow_camera_height: 900
flow_camera_properties:
fov: '80' # field of view in degrees
# The following settings control whether to use lidar, and if so, the number
# of channels, range, and properties of the lidar.
use_lidar: True
lidar_channels: 128 # number of channels (vertical beams)
lidar_range: 120.0 # range in meters
lidar_properties:
rotation_frequency: '20.0' # rotation frequency in Hz
points_per_second: '5242880'
upper_fov: '10.67' # upper field of view angle in degrees
lower_fov: '-30.67' # lower field of view angle in degrees
dropoff_general_rate: '0.14' # proportion of points that are randomly
# dropped
noise_stddev: '0.01' # standard deviation of the noise model for disturbing
# each point along the vector of its ray in meters
# The following settings control whether to use semantic lidar, and if so, the
# number of channels, range, and properties of the semantic lidar.
use_semantic_lidar: True
semantic_lidar_channels: 128 # number of channels (vertical beams)
semantic_lidar_range: 120.0 # range in meters
semantic_lidar_properties:
rotation_frequency: '20.0' # rotation frequency in Hz
points_per_second: '5242880'
upper_fov: '10.67' # upper field of view angle in degrees
lower_fov: '-30.67' # lower field of view angle in degrees
# The following settings control whether to use radars, and if so, the range,
# field of view (FoV), and properties of the radars.
use_radar: True
radar_range: 120.0 # range in meters
radar_horizontal_fov: 100.0 # horizontal field of view in degrees
radar_vertical_fov: 12 # vertical field of view in degrees
radar_properties:
points_per_second: '40000'
# The following settings control whether to use GNSS, and if so, the
# properties of the GNSS sensor.
use_gnss: True
gnss_properties:
noise_seed: '27'
noise_alt_stddev: '0.04' # standard deviation of the altitude noise model in
# meters
noise_lat_stddev: '0.0000004' # standard deviation of the latitude noise
# model in degrees
noise_lon_stddev: '0.0000004' # standard deviation of the longitude noise
# model in degrees
# The following settings control whether to use IMU, and if so, the properties
# of the IMU sensor.
use_imu: True
imu_properties:
noise_seed: '27'
noise_accel_stddev_x: '0.00017' # standard deviation of the accelerometer
# noise model in m/s^2
noise_accel_stddev_y: '0.00017' # standard deviation of the accelerometer
# noise model in m/s^2
noise_accel_stddev_z: '0.00017' # standard deviation of the accelerometer
# noise model in m/s^2
noise_gyro_bias_x: '0.00017' # bias of the gyroscope noise model in rad/s
noise_gyro_bias_y: '0.00017' # bias of the gyroscope noise model in rad/s
noise_gyro_bias_z: '0.00017' # bias of the gyroscope noise model in rad/s
noise_gyro_stddev_x: '0.0000056' # standard deviation of the gyroscope noise
# model in rad/s
noise_gyro_stddev_y: '0.0000056' # standard deviation of the gyroscope noise
# model in rad/s
noise_gyro_stddev_z: '0.0000056' # standard deviation of the gyroscope noise
# model in rad/s
########## Optional Settings ##########
# The following setting controls the change in street light intensity. For it
# to take effect, change_street_light_intensity must be set to True. If it is
# not provided the change in street light intensity is chosen randomly for
# each scene.
# street_light_intensity_change: 200000.0 # intensity in lumens
# The following settings control the number of vehicles and pedestrians that
# are spawned in each scene. If these are not provided, the number of vehicles
# and pedestrians are chosen randomly for each scene.
# n_vehicles: 100
# n_walkers: 100
# The following setting controls the portion of pedestrians that may walk on
# the road in places other than a crosswalk. If it is not provided, it is
# chosen randomly for each scene.
# walker_cross_factor: 0.6
# The following settings control traffic behavior. If any of these are not
# provided, they are chosen randomly for each scene.
# speed_difference: -10.0 # the percentage difference between the vehicles'
# # intended speeds and the speed limit; negative
# # values indicate speeds higher than the speed limit
# distance_to_leading: 4.0 # minimum distance each vehicle has to maintain
# # with the vehicle in front of it in meters
# green_time: 12.0 # duration of the green light in seconds
# The following settings control the weather. Any subset of these settings can
# be provided, and the ones not provided are chosen randomly for each scene.
# Other weather parameters supported by CARLA can be used as well.
# weather:
# cloudiness: 10.0 # cloud cover, values range from 0 (clear sky) to 100
# precipitation: 0.0 # rain intensity, values range from 0 (no rain) to 100
# precipitation_deposits: 10.0 # amount of water on the ground, values range
# # from 0 (dry road) to 100 (covered in water)
# wind_intensity: 10.0 # intensity of the wind, values range from 0 (no
# # wind) to 100
# sun_azimuth_angle: 300.0 # azimuth angle of the sun in degrees, values
# # range from 0 to 360
# sun_altitude_angle: 20.0 # altitude angle of the sun in degrees, values
# # range from -90 to 90
# wetness: 0.0 # intensity of camera wetness, values range from 0 (dry
# # camera) to 100
# fog_density: 2.0 # fog concentration or thickness, values range from 0 (no
# # fog) to 100
# fog_distance: 0.75 # distance at which the fog starts, values greater than
# # 0
# fog_falloff: 0.1 # heaviness (specific mass) of the fog, values greater
# # than 0; at 0 it is lighter than air, at 1 it has about
# # the same heaviness as air, at 5 it is so heavy that it
# # is compressed to the ground
# The following setting provides a list of spawn point(s) for the ego vehicle
# for each map. Each spawn point is in the format of
# [[x, y, z], [roll, pitch, yaw]] (in CARLA's left-handed coordinate system).
# For the maps where the spawn point(s) are provided, for each scene one of
# the spawn points is chosen randomly. For the maps that are not provided, the
# spawn points are chosen entirely randomly.
# ego_vehicle_spawn_point:
# Town04: [
# [[185.2, 204.1, 0.3], [0.0, 0.0, -20.0]],
# [[198.3, 195.9, 0.3], [0.0, 0.0, -20.0]],
# [[112.8, 38.2, 11.1], [0.0, 0.0, 0.0]]
# ]
# Town10HD: [
# [[-17.1, 13.2, 0.6], [0.0, 0.0, 180.0]],
# [[-64.6, 24.4, 0.6], [0.0, 0.0, 0.0]],
# [[-52.3, -28.9, 0.6], [0.0, 0.0, 90.0]],
# [[-48.6, 60.6, 0.6], [0.0, 0.0, 90.0]],
# [[40.4, 41.9, 0.6], [0.0, 0.0, 90.0]],
# [[27.1, 66.3, 0.6], [0.0, 0.0, 180.0]],
# [[-54.3, 137.1, 0.6], [0.0, 0.0, 0.0]],
# [[106.0, 50.9, 0.6], [0.0, 0.0, -90.0]],
# [[57.6, -67.8, 0.6], [0.0, 0.0, 180.0]],
# [[-27.8, -61.2, 0.6], [0.0, 0.0, 0.0]],
# [[-110.2, -9.8, 0.6], [0.0, 0.0, 90.0]],
# [[-87.6, 13.0, 0.6], [0.0, 0.0, 180.0]]
# ]