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64 changes: 64 additions & 0 deletions opencda/scenario_testing/config_yaml/openscenario_1.yaml
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description: |-
Author: Wei Shao <phdweishao@gmail.com>
Content: Test configurations for `openscenario_carla` that incorporates ScenarioRunner

# Carla server settings

world:
sync_mode: true
client_host: &host localhost
client_port: &port 2000

# Parameters needed for ScenarioRunner
scenario_runner:
town: town01

# E.g., for the Overtake scenario
scenario: Scenario_1
num_actors: 2
configFile: './opencda/scenario_testing/scenarios/scenario_1.xml'
additionalScenario: '/home/ucdavis/Desktop/OpenCDA/opencda/scenario_testing/scenarios/scenario_1.py'


host: *host
port: *port
timeout: 10
debug: false
sync: false
repetitions: 1
agent: null
openscenario: null
route: null
reloadWorld: false
waitForEgo: false
trafficManagerPort: '8000'
trafficManagerSeed: '0'
record: ''
agentConfig: ''
file: false
json: false
junit: false
list: false
penscenarioparams: null
output: false
outputDir: ''
randomize: false

# Define OpenCDA scenario
scenario:
single_cav_list:
- name: cav1
destination: [200.2, 195.4, 0.5]
v2x:
enabled: false
behavior:
local_planner:
debug_trajectory: false
debug: false

vehicle_base: &vehicle_base
sensing: &base_sensing
# edge: true
perception: &base_perception
lidar: # lidar sensor configuration, check CARLA sensor reference for more details
visualize: true # whether to visualize lidar points using open3d
74 changes: 74 additions & 0 deletions opencda/scenario_testing/config_yaml/openscenario_11.yaml
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description: |-
Author: Wei Shao <phdweishao@gmail.com>
Content: Test configurations for `openscenario_carla` that incorporates ScenarioRunner

# Carla server settings

world:
sync_mode: true
client_host: &host localhost
client_port: &port 2000

# Parameters needed for ScenarioRunner
scenario_runner:
town: town05

# E.g., for the Overtake scenario
scenario: Scenario_11
num_actors: 2
configFile: './opencda/scenario_testing/scenarios/scenario_11.xml'
additionalScenario: '/home/ucdavis/Desktop/OpenCDA/opencda/scenario_testing/scenarios/scenario_11.py'

# The following shows how to configure a A-to-B simple scenario
# : AtoB_1
# # Number of actors to load in, including ego and other actors
# num_actors: 1
#
# configFile: './EIdrive/scenario_testing/scenarios/AtoB.xml'
# # Absolute path needed here
# additionalScenario: '/home/ucdavis/Desktop/EI-Drive/EIdrive/scenario_testing/scenarios/atob.py'

host: *host
port: *port
timeout: 10
debug: false
sync: false
repetitions: 1
agent: null
openscenario: null
route: null
reloadWorld: false
waitForEgo: false
trafficManagerPort: '8000'
trafficManagerSeed: '0'
record: ''
agentConfig: ''
file: false
json: false
junit: false
list: false
penscenarioparams: null
output: false
outputDir: ''
randomize: false

# Define OpenCDA scenario
scenario:
single_cav_list:
- name: cav1
destination: [155.0, -70.5, 0.5]
v2x:
enabled: false
behavior:
local_planner:
debug_trajectory: false
debug: false

vehicle_base: &vehicle_base
sensing: &base_sensing
# edge: true
perception: &base_perception
lidar: # lidar sensor configuration, check CARLA sensor reference for more details
visualize: true # whether to visualize lidar points using open3d
behavior: &base_behavior
max_speed: 24 # maximum speed, 60km/h
74 changes: 74 additions & 0 deletions opencda/scenario_testing/config_yaml/openscenario_12.yaml
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description: |-
Author: Wei Shao <phdweishao@gmail.com>
Content: Test configurations for `openscenario_carla` that incorporates ScenarioRunner

# Carla server settings

world:
sync_mode: true
client_host: &host localhost
client_port: &port 2000

# Parameters needed for ScenarioRunner
scenario_runner:
town: town06

# E.g., for the Overtake scenario
scenario: Scenario_12
num_actors: 2
configFile: './opencda/scenario_testing/scenarios/scenario_12.xml'
additionalScenario: '/home/ucdavis/Desktop/OpenCDA/opencda/scenario_testing/scenarios/scenario_12.py'

# The following shows how to configure a A-to-B simple scenario
# : AtoB_1
# # Number of actors to load in, including ego and other actors
# num_actors: 1
#
# configFile: './EIdrive/scenario_testing/scenarios/AtoB.xml'
# # Absolute path needed here
# additionalScenario: '/home/ucdavis/Desktop/EI-Drive/EIdrive/scenario_testing/scenarios/atob.py'

host: *host
port: *port
timeout: 10
debug: false
sync: false
repetitions: 1
agent: null
openscenario: null
route: null
reloadWorld: false
waitForEgo: false
trafficManagerPort: '8000'
trafficManagerSeed: '0'
record: ''
agentConfig: ''
file: false
json: false
junit: false
list: false
penscenarioparams: null
output: false
outputDir: ''
randomize: false

# Define OpenCDA scenario
scenario:
single_cav_list:
- name: cav1
destination: [138.0, 48.8, 0.5]
v2x:
enabled: false
behavior:
local_planner:
debug_trajectory: false
debug: false

vehicle_base: &vehicle_base
sensing: &base_sensing
# edge: true
perception: &base_perception
lidar: # lidar sensor configuration, check CARLA sensor reference for more details
visualize: true # whether to visualize lidar points using open3d
behavior: &base_behavior
max_speed: 25 # maximum speed, 60km/h
74 changes: 74 additions & 0 deletions opencda/scenario_testing/config_yaml/openscenario_13.yaml
Original file line number Diff line number Diff line change
@@ -0,0 +1,74 @@
description: |-
Author: Wei Shao <phdweishao@gmail.com>
Content: Test configurations for `openscenario_carla` that incorporates ScenarioRunner

# Carla server settings

world:
sync_mode: true
client_host: &host localhost
client_port: &port 2000

# Parameters needed for ScenarioRunner
scenario_runner:
town: town03

# E.g., for the Overtake scenario
scenario: Scenario_13
num_actors: 2
configFile: './opencda/scenario_testing/scenarios/scenario_13.xml'
additionalScenario: '/home/ucdavis/Desktop/OpenCDA/opencda/scenario_testing/scenarios/scenario_13.py'

# The following shows how to configure a A-to-B simple scenario
# : AtoB_1
# # Number of actors to load in, including ego and other actors
# num_actors: 1
#
# configFile: './EIdrive/scenario_testing/scenarios/AtoB.xml'
# # Absolute path needed here
# additionalScenario: '/home/ucdavis/Desktop/EI-Drive/EIdrive/scenario_testing/scenarios/atob.py'

host: *host
port: *port
timeout: 10
debug: false
sync: false
repetitions: 1
agent: null
openscenario: null
route: null
reloadWorld: false
waitForEgo: false
trafficManagerPort: '8000'
trafficManagerSeed: '0'
record: ''
agentConfig: ''
file: false
json: false
junit: false
list: false
penscenarioparams: null
output: false
outputDir: ''
randomize: false

# Define OpenCDA scenario
scenario:
single_cav_list:
- name: cav1
destination: [246.1, -12.3, 0.5]
v2x:
enabled: false
behavior:
local_planner:
debug_trajectory: false
debug: false

vehicle_base: &vehicle_base
sensing: &base_sensing
# edge: true
perception: &base_perception
lidar: # lidar sensor configuration, check CARLA sensor reference for more details
visualize: true # whether to visualize lidar points using open3d
behavior: &base_behavior
max_speed: 25 # maximum speed, 60km/h
74 changes: 74 additions & 0 deletions opencda/scenario_testing/config_yaml/openscenario_14.yaml
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@@ -0,0 +1,74 @@
description: |-
Author: Wei Shao <phdweishao@gmail.com>
Content: Test configurations for `openscenario_carla` that incorporates ScenarioRunner

# Carla server settings

world:
sync_mode: true
client_host: &host localhost
client_port: &port 2000

# Parameters needed for ScenarioRunner
scenario_runner:
town: town06

# E.g., for the Overtake scenario
scenario: Scenario_14
num_actors: 2
configFile: './opencda/scenario_testing/scenarios/scenario_14.xml'
additionalScenario: '/home/ucdavis/Desktop/OpenCDA/opencda/scenario_testing/scenarios/scenario_14.py'

# The following shows how to configure a A-to-B simple scenario
# : AtoB_1
# # Number of actors to load in, including ego and other actors
# num_actors: 1
#
# configFile: './EIdrive/scenario_testing/scenarios/AtoB.xml'
# # Absolute path needed here
# additionalScenario: '/home/ucdavis/Desktop/EI-Drive/EIdrive/scenario_testing/scenarios/atob.py'

host: *host
port: *port
timeout: 10
debug: false
sync: false
repetitions: 1
agent: null
openscenario: null
route: null
reloadWorld: false
waitForEgo: false
trafficManagerPort: '8000'
trafficManagerSeed: '0'
record: ''
agentConfig: ''
file: false
json: false
junit: false
list: false
penscenarioparams: null
output: false
outputDir: ''
randomize: false

# Define OpenCDA scenario
scenario:
single_cav_list:
- name: cav1
destination: [290.3, 52.2, 0.5]
v2x:
enabled: false
behavior:
local_planner:
debug_trajectory: false
debug: false

vehicle_base: &vehicle_base
sensing: &base_sensing
# edge: true
perception: &base_perception
lidar: # lidar sensor configuration, check CARLA sensor reference for more details
visualize: true # whether to visualize lidar points using open3d
behavior: &base_behavior
max_speed: 40 # maximum speed, 60km/h
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