Validate CARLA pedestrian navigation by sampling walkable locations and reporting their coverage. Draw the samples as debug points to inspect the walkable area after a map import or investigate pedestrians that will not move.
中文简介正在准备中。当前显示英语简介。
Visualises and validates a map's pedestrian navigation mesh by sampling walkable locations (get_random_location_from_navigation) and drawing them as debug points. Use when the user asks to "show/visualise the pedestrian navmesh", "check walkable areas", "validate pedestrian navigation after a map import", or "why won't my walkers move". Confirms the navmesh loaded and how far it covers.
安装前可以查看交给 AI 代理的指令内容。
Paths.
scripts/…andreferences/…below are relative to the directory holding this SKILL.md. Your working directory is the user's project, not that directory, so prefix them with its absolute path or the command is not found.
CARLA does not expose navmesh geometry, but every location from
get_random_location_from_navigation() sits on the walkable mesh. Sampling many
of them validates the navmesh loaded and visualises its coverage — the
check to run after importing a map, or when walkers refuse to move.
Progress:
- [ ] Step 1: Check prerequisites (bash scripts/check_env.sh), clear FAILs
- [ ] Step 2: Validate — confirm the navmesh exists and its extent
- [ ] Step 3: (rendered view) Sample + draw to see the walkable area
Commands need CARLA_HOST/CARLA_PORT from scripts/env.sh.
bash scripts/check_env.sh
source scripts/env.sh
python3 scripts/navmesh.py validate --count 500
PASS reports the number of valid points, unique locations, and the walkable span.
FAIL (exit 1) means get_random_location_from_navigation() returned nothing — no
usable navmesh, so pedestrians with a WalkerAIController will not navigate.
python3 scripts/navmesh.py sample --count 2000 --life 120
Draws the sampled points via world.debug; the dotted region is walkable. Needs a
windowed/packaged server (headless -nullrhi draws nothing — see debug-draw).
Example 1: after importing a map
User says: "I imported a town — did the pedestrian nav build?"
validate → PASS with a sensible span means yes; FAIL means the nav mesh is
missing and must be rebuilt during import.
Example 2: walkers won't move
User says: "my pedestrians just stand still"
validate. If it FAILs, the navmesh is the cause; if it PASSes, look at the
WalkerAIController wiring (owned by the walker-spawning skill), not the map.
Example 3: see the walkable area
User says: "show me where pedestrians can walk"
sample --count 3000 --life 180 on a rendered server; inspect the point cloud.
Problem: validate FAILs on a freshly imported map
Cause: pedestrian navigation was not generated/exported for the map.
Solution: rebuild the map's nav mesh in the import pipeline; then re-validate.
Problem: sample prints a count but nothing is visible
Cause: headless -nullrhi server, or the camera is far from the coverage bounds.
Solution: use a rendered server and move the spectator over the reported bounds.
Problem: very few unique locations Cause: navmesh is tiny or degenerate (a sliver of walkable area). Solution: check the source geometry / sidewalks in the imported map.
validate: a PASS/FAIL report with coverage bounds and walkable span.sample: a transient point overlay of the walkable area (rendered view).Detail (navmesh basics, WalkerAIController link, import checklist) in references/navmesh.md.
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Add a message type to CARLA's native ROS 2 interface. Create its C++ data structure, serialization code for transmission, type identity hash, registration, and tests, with Docker-based hash calculation and build checks.
中文简介正在准备中。当前显示英语简介。
Extend CARLA’s native ROS 2 interface to publish sensor data or receive vehicle commands. Covers topic implementation, registration, data connections, and verification, plus adding middleware, the communication layer used to exchange messages.
中文简介正在准备中。当前显示英语简介。
Summarize ScenarioRunner results to see which scenarios passed and which checks failed. Compare runs before and after changes, or analyze recorded driving to produce measurements and plots of vehicle distance and deviation from the lane center.
中文简介正在准备中。当前显示英语简介。
Checks a local CARLA checkout for missing API documentation, outdated references, broken links, and pages absent from navigation. Produces a grouped Markdown report without building the project or running the simulator.
中文简介正在准备中。当前显示英语简介。
Read and display CARLA object bounding boxes, then project them onto a camera image as 2D rectangles. Export an annotated PNG and box coordinates in JSON for object detection annotation work.
中文简介正在准备中。当前显示英语简介。
Builds CARLA's ue4-dev branch on Linux, producing the Unreal Engine 4.26 editor, server modules, and an installed Python client package. Fetches required content, optionally compiles native ROS 2 support, and verifies the build against a source-built server.
中文简介正在准备中。当前显示英语简介。