sl-perception 7dcdd2088a feat(jetson): add saltybot_night_vision package (issue #168)
Implements ambient-light-aware night vision mode for the D435i + IMX219
stack on the Jetson Orin Nano Super:

• light_analyser.py       — histogram-based intensity FSM with hysteresis:
                            day → twilight → night → ir_only
• camera_controller.py   — D435i IR emitter via realsense2_camera param
                            service + IMX219 gain/exposure via v4l2-ctl
• gpio_headlight.py      — physical pin 33 headlight; Jetson.GPIO PWM
                            primary, sysfs on/off fallback, sim mode
• light_monitor_node.py  — subscribes IMX219/IR1, publishes
                            /saltybot/ambient_light + /saltybot/vision_mode
• night_vision_controller_node.py — reacts to mode changes; drives
                            D435i emitter, IMX219 gain, headlight
• ir_slam_bridge_node.py — mono8 IR1 → rgb8 republish so RTAB-Map
                            keeps loop-closing in darkness
• launch/night_vision.launch.py + config/night_vision_params.yaml
• test/test_night_vision.py — 18 unit tests (18/18 pass, no ROS2 needed)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-02 10:36:21 -05:00
..

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

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.