Files
keita df91b1110e 精简仓库结构并增强任务链路:归档双目可选后端、新增LOS判据与自定义返航
归档 legacy/:stereo_yolo/stereo_ranger/target_tracker 三包 + 175 条测试 + demo/配置/权重/三份规格;运行链路不再依赖,默认 pytest 446 条,归档测试按需运行。

目标有效性第二判据改为 LOS 运动学一致性(pod_bridge/los_consistency.py),删除 require_vision;pod_locked() 叠加该判据,状态机随之后退重搜。

自定义返航(task_runner/return_home.py):保持转场高度回起飞点 → 恢复初始航向 → 垂直降落,不再爬 RTL_RETURN_ALT;未起飞/无起飞点/超时/异常仍退回 PX4 原生 RTL。

任务链安全兜底:主循环异常→紧急返航、stop 幂等、landing_stop 保留遥测、in_air 流复用+超时、解锁/起飞与吊舱识别仅执行一次、rtl_timeout 上限。

入口共享件拆到 utils/sitl_support.py;pod_sitl_test.py→l1_sitl_test.py;删除旧架构 test.py;相机脚本移入 tools/。

新增 .gitignore 并剔除历史误跟踪的 59 个 .pyc;requirements 按实际依赖重写;文档全面对齐,新增 legacy/README.md 与 tools/README.md。
2026-10-21 14:48:41 +08:00

208 lines
8.4 KiB
Python
Raw Permalink Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
"""demo_track_control.py —— 视觉跟踪控制链路集成演示(胶水层)。
对应 C++ 参考实现 reference-c++/visual_track_control/examples/track_control_demo.cpp。
串联三个组件(target_tracker 与 visual_track_control 互不 import,
本脚本是唯一的转换点):
模拟检测序列 → TargetTracker(8 维恒速卡尔曼多目标追踪)
→ TrackResult 转 TrackState(解耦边界)
→ TrackingControlLaw(三通道控制律 + 限幅 + 状态机)
→ CommandSender(mock 记录 / MAVSDK offboard 实发)
场景时间线(20 Hz,--speedup 可加速):
0~ 6s 正常跟踪:目标匀速横移 + 双目距离 30→10 m 前向逼近
6~10s 目标消失:追踪器 Coast 预测(60 帧 = 3 s 后轨道判丢,
控制律自动切换零速刹车)
10~13s 持续判丢:维持零速刹车
用法:
python utils/demo_track_control.py # mock 传输
python utils/demo_track_control.py --transport mavsdk # MAVSDK(需飞控/SITL)
python utils/demo_track_control.py --speedup 4 # 4 倍速
"""
import argparse
import asyncio
import logging
from pathlib import Path
from target_tracker.target_tracker import Detection, TargetTracker, TrackerConfig
from visual_track_control.config import load_from_json
from visual_track_control.mavsdk_gateway import MavsdkCommandGateway
from visual_track_control.tracking_control_law import TrackingControlLaw
from visual_track_control.types import (ControlMode, ControlSnapshot,
ControlOutput, TrackState)
logger = logging.getLogger("demo")
_DEMO_DIR = Path(__file__).resolve().parent
_DEFAULT_CONFIG = _DEMO_DIR / "config" / "track_control.json"
# 模拟场景参数
_NORMAL_SECS = 6.0 # 正常跟踪阶段
_COAST_SECS = 4.0 # 目标消失 → Coast(含轨道判亡)
_LOST_SECS = 3.0 # 判丢后持续刹车阶段
_DEMO_MAX_LOST_FRAMES = 60 # 追踪器 Coast 窗口(20 Hz 下 = 3 s)
_STATUS_EVERY_TICKS = 10 # 每 0.5 s 打印一行状态
def track_result_to_state(result) -> TrackState:
"""两包之间的唯一转换点:TrackResult(box 为对象)→ TrackState(plain tuple)。"""
box = result.box
raw = result.raw
return TrackState(
tracked=result.tracked,
primary_id=result.primary_id,
center=result.center,
box=(box.x1, box.y1, box.x2, box.y2) if box is not None else None,
confidence=result.confidence,
is_predicted=result.is_predicted,
lost_frames=result.lost_frames,
n_active=result.n_active,
raw=(raw.x1, raw.y1, raw.x2, raw.y2) if raw is not None else None,
)
def simulate_detections(tick: int, normal_ticks: int, period_s: float):
"""场景检测源:正常阶段目标匀速横移,之后消失。"""
if tick >= normal_ticks:
return []
cx = 960.0 + 3.0 * tick # 3 px/帧 匀速右移
cy = 540.0
w, h = 120.0, 160.0
return [Detection(cx - w / 2.0, cy - h / 2.0, cx + w / 2.0, cy + h / 2.0, 0.9)]
def simulate_distance(tick: int, normal_ticks: int, period_s: float):
"""场景双目距离源:正常阶段有效、距离 30→10 m;之后无效。"""
if tick >= normal_ticks:
return 0.0, False
distance = max(10.0, 30.0 - tick * period_s * 3.0)
return distance, True
class MockCommandSender:
"""CommandSender 的 mock 实现:记录最近一条指令描述(无实机验证能力)。"""
def __init__(self) -> None:
self.last_desc = "-"
async def start(self) -> bool:
logger.info("[MockTransport] offboard 启动(模拟)")
return True
async def send_velocity_heading(self, output: ControlOutput,
time_boot_ms=None) -> bool:
self.last_desc = (f"vx={output.vx_mps:+.2f} vy={output.vy_mps:+.2f} "
f"vz={output.vz_mps:+.2f} "
f"yaw_rate={output.yaw_rate_dps:+.2f}°/s "
f"yaw={output.yaw_deg:+.2f}°")
return True
async def send_brake_hover(self, time_boot_ms=None) -> bool:
self.last_desc = "零速刹车(全零机体速度设定点)"
return True
async def stop(self) -> None:
logger.info("[MockTransport] offboard 停止(模拟)")
async def make_sender(args) -> object:
if args.transport == "mock":
return MockCommandSender()
from mavsdk import System
drone = System()
logger.info("连接飞控 %s ...", args.conn)
await drone.connect(system_address=args.conn)
async for state in drone.core.connection_state():
if state.is_connected:
logger.info("飞控已连接")
break
return MavsdkCommandGateway(drone)
async def dispatch(sender, out: ControlOutput, now_ms: int):
"""按模式分发指令;DEGRADED_HOLD 不发送(禁止正常控制)。"""
if out.mode is ControlMode.VELOCITY_HEADING and out.valid:
return await sender.send_velocity_heading(out, now_ms)
if out.mode is ControlMode.BRAKE_HOVER and out.valid:
return await sender.send_brake_hover(now_ms)
return None
async def run_demo(args) -> None:
cfg = load_from_json(args.config)
period_s = 1.0 / cfg.control.frequency_hz
period_ms = int(round(period_s * 1000.0))
tracker = TargetTracker(TrackerConfig(max_lost_frames=_DEMO_MAX_LOST_FRAMES))
law = TrackingControlLaw(cfg)
sender = await make_sender(args)
normal_ticks = int(round(_NORMAL_SECS / period_s))
coast_ticks = int(round(_COAST_SECS / period_s))
lost_ticks = int(round(_LOST_SECS / period_s))
total_ticks = normal_ticks + coast_ticks + lost_ticks
if not await sender.start():
logger.error("offboard 启动失败,退出")
return
logger.info("开始 %d 拍(%.1f s,%.1f Hz):正常 %.1fs → Coast %.1fs → 判丢 %.1fs",
total_ticks, total_ticks * period_s, cfg.control.frequency_hz,
_NORMAL_SECS, _COAST_SECS, _LOST_SECS)
try:
for tick in range(total_ticks):
now_ms = 1000 + tick * period_ms
detections = simulate_detections(tick, normal_ticks, period_s)
distance_m, distance_valid = simulate_distance(tick, normal_ticks, period_s)
result = tracker.update(detections)
snap = ControlSnapshot(
track=track_result_to_state(result),
track_time_ms=now_ms, # 每拍取样即打戳(视觉始终新鲜)
target_distance_m=distance_m,
distance_valid=distance_valid,
distance_time_ms=now_ms,
attitude_present=True,
attitude_time_ms=now_ms, # 模拟姿态源持续可用
yaw_rad=0.0, # 机头朝北(NED 旋转恒等)
)
out = law.update(snap, now_ms)
await dispatch(sender, out, now_ms)
if tick % _STATUS_EVERY_TICKS == 0:
logger.info(
"t=%5.2fs 检测=%d 追踪[trk=%d pred=%d lost=%d] | "
"[%s] vx=%+.2f vy=%+.2f vz=%+.2f yaw_rate=%+.2f coast=%d | 发送: %s",
(tick * period_s), len(detections), result.tracked,
result.is_predicted, result.lost_frames, out.mode.name,
out.vx_mps, out.vy_mps, out.vz_mps, out.yaw_rate_dps,
out.coast_active, sender.last_desc)
await asyncio.sleep(period_s / args.speedup)
finally:
await sender.stop()
logger.info("演示结束")
def main() -> None:
parser = argparse.ArgumentParser(description="视觉跟踪控制链路集成演示")
parser.add_argument("--transport", choices=["mock", "mavsdk"], default="mock",
help="指令发送方式:mock=本地记录,mavsdk=offboard 实发")
parser.add_argument("--conn", default="udp://:14540",
help="MAVSDK 连接串(仅 --transport mavsdk 生效)")
parser.add_argument("--speedup", type=float, default=1.0,
help="时间倍速(>1 加速演示)")
parser.add_argument("--config", default=str(_DEFAULT_CONFIG),
help="控制律配置文件路径")
args = parser.parse_args()
logging.basicConfig(level=logging.INFO,
format="%(asctime)s.%(msecs)03d %(levelname)s %(message)s",
datefmt="%H:%M:%S")
asyncio.run(run_demo(args))
if __name__ == "__main__":
main()