History

sl-perception 071e577227 feat(perception): appearance-based person re-identification (Issue #322 )

Adds PersonTrack/PersonTrackArray msgs and a PersonReidNode that matches
individuals across camera views using HSV colour histogram appearance
features and cosine similarity, with EMA gallery update and 30s stale timeout.

New messages (saltybot_scene_msgs):
  msg/PersonTrack.msg        — track_id, camera_id, bbox, confidence,
                               first_seen, last_seen, is_stale
  msg/PersonTrackArray.msg   — array wrapper with header

New files (saltybot_bringup):
  saltybot_bringup/_person_reid.py    — pure kinematics (no ROS2 deps)
    extract_hsv_histogram()  2-D HS histogram (H=16, S=8 → 128-dim, L2-norm)
    cosine_similarity()      handles zero/non-unit vectors
    match_track()            best gallery match above threshold (strict >)
    TrackGallery             add/update/match/mark_stale/prune_stale
    TrackEntry               mutable dataclass; EMA feature blend (α=0.3)
  saltybot_bringup/person_reid_node.py
    Subscribes /camera/color/image_raw + /saltybot/scene/objects (BEST_EFFORT)
    Crops COCO person (class_id=0) ROIs; extracts features; matches gallery
    Publishes PersonTrackArray on /saltybot/person_tracks at 5 Hz
    Parameters: camera_id, similarity_threshold=0.75, stale_timeout_s=30,
                max_tracks=20, publish_hz=5.0
  test/test_person_reid.py   — 50 tests, all passing

Modified:
  saltybot_scene_msgs/CMakeLists.txt  — register PersonTrack/Array msgs
  saltybot_bringup/setup.py           — add person_reid console_script

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-03-03 00:54:57 -05:00

calibration

feat(calibration): IMX219 intrinsic + extrinsic calibration workflow (Issue #106 )

2026-03-02 08:38:24 -05:00

config

feat(mapping): RTAB-Map persistence + multi-session + map management (Issue #123 )

2026-03-02 09:17:54 -05:00

docs

feat: Orin Nano Super platform update + 4x IMX219 CSI cameras

2026-02-28 22:59:13 -05:00

models

feat(social): Orin dev environment — JetPack 6 + TRT conversion + systemd (#88 )

2026-03-02 08:08:57 -05:00

ros2_ws/src

feat(perception): appearance-based person re-identification (Issue #322 )

2026-03-03 00:54:57 -05:00

scripts

feat(social): Orin dev environment — JetPack 6 + TRT conversion + systemd (#88 )

2026-03-02 08:08:57 -05:00

systemd

feat(social): Orin dev environment — JetPack 6 + TRT conversion + systemd (#88 )

2026-03-02 08:08:57 -05:00

docker-compose.yml

feat(social): Orin dev environment — JetPack 6 + TRT conversion + systemd (#88 )

2026-03-02 08:08:57 -05:00

Dockerfile

feat: update SLAM stack for Jetson Orin Nano Super (67 TOPS, JetPack 6)

2026-02-28 21:46:27 -05:00

Dockerfile.social

feat(social): Orin dev environment — JetPack 6 + TRT conversion + systemd (#88 )

2026-03-02 08:08:57 -05:00

README.md

feat: Jetson Nano platform setup and Docker env (bd-1hcg)

2026-02-28 12:46:14 -05:00

README.md

Jetson Nano — AI/SLAM Platform Setup

Self-balancing robot: Jetson Nano dev environment for ROS2 Humble + SLAM stack.

Stack

Component	Version / Part
Platform	Jetson Nano 4GB
JetPack	4.6 (L4T R32.6.1, CUDA 10.2)
ROS2	Humble Hawksbill
DDS	CycloneDDS
SLAM	slam_toolbox
Nav	Nav2
Depth camera	Intel RealSense D435i
LiDAR	RPLIDAR A1M8
MCU bridge	STM32F722 (USB CDC @ 921600)

Quick Start

# 1. Host setup (once, on fresh JetPack 4.6)
sudo bash scripts/setup-jetson.sh

# 2. Build Docker image
bash scripts/build-and-run.sh build

# 3. Start full stack
bash scripts/build-and-run.sh up

# 4. Open ROS2 shell
bash scripts/build-and-run.sh shell

Docs

docs/pinout.md — GPIO/I2C/UART pinout for all peripherals
docs/power-budget.md — 10W power envelope analysis

Files

jetson/
├── Dockerfile              # L4T base + ROS2 Humble + SLAM packages
├── docker-compose.yml      # Multi-service stack (ROS2, RPLIDAR, D435i, STM32)
├── README.md               # This file
├── docs/
│   ├── pinout.md           # GPIO/I2C/UART pinout reference
│   └── power-budget.md     # Power budget analysis (10W envelope)
└── scripts/
    ├── entrypoint.sh       # Docker container entrypoint
    ├── setup-jetson.sh     # Host setup (udev, Docker, nvpmodel)
    └── build-and-run.sh    # Build/run helper

Power Budget (Summary)

Scenario	Total
Idle	2.9W
Nominal (SLAM active)	~10.2W
Peak	15.4W

Target: 10W (MAXN nvpmodel). Use RPLIDAR standby + 640p D435i for compliance. See docs/power-budget.md for full analysis.