{"product_id":"ros2-autonomous-vehicle-research-kit-raspberry-pi-5-lidar-camera","title":"ROS2 Autonomous Vehicle Research Kit - Raspberry Pi 5, LiDAR, Camera","description":"\u003ch1\u003eTurn a Raspberry Pi 5 into a ROS2 Autonomous Vehicle Subsystem with LiDAR, Camera, and IMU\u003c\/h1\u003e\n\n\u003cp class=\"value-summary\"\u003eEvery part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.\u003c\/p\u003e\n\n\u003cdiv class=\"specs-strip\"\u003e\n  \u003cspan\u003e\u003cstrong\u003eDifficulty:\u003c\/strong\u003e Advanced\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eBuild Time:\u003c\/strong\u003e 8-10 hrs\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eAge:\u003c\/strong\u003e 18-25\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eSkill:\u003c\/strong\u003e ROS2 autonomous navigation\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eThis kit hands you a complete, ready-to-integrate autonomous vehicle brain. You assemble a Raspberry Pi 5 with a spinning LiDAR, high-resolution camera, and 9-axis IMU, then deploy ROS2 nodes that perform simultaneous localisation and mapping (SLAM), visual odometry, and real-time obstacle avoidance. Built for final-year projects, research labs, and hackathons, it removes the usual sensor-driver headaches and lets you focus on the autonomous stack itself.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Build\u003c\/h2\u003e\n\u003cp\u003eA ROS2-powered mobile robot that can explore an unknown room, build a real-time map, locate itself without GPS, and plan safe, collision-free paths. You'll connect a motor driver to any compatible chassis, stream camera feeds into ROS2, and fuse LiDAR and IMU data to run the full Nav2 stack. The result is a self-contained autonomous drive subsystem that can serve as the foundation for research in SLAM, multi-sensor fusion, or autonomous delivery robots.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eWriting ROS2 publisher and subscriber nodes for sensor data (LiDAR, camera, IMU, odometry)\u003c\/li\u003e\n  \u003cli\u003eGenerating 2D occupancy maps with Cartographer or Slam Toolbox on live LiDAR scans\u003c\/li\u003e\n  \u003cli\u003eFusing visual and inertial data to improve state estimation and visual odometry\u003c\/li\u003e\n  \u003cli\u003eTuning a PID-based motor controller and integrating it with the ROS2 navigation stack\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eKit Contents\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eQuantity\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eRaspberry Pi 5 8GB\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eRPLidar A1\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003ePi Camera Module 3\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eMPU9250 IMU\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eCytron Motor Driver\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eNVMe SSD 256GB\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003ePi 5 M.2 HAT+\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eUSB-C PSU\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eM-M Wires\u003c\/td\u003e\n\u003ctd\u003e20\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWhy Buy This Kit Instead of Sourcing Parts Separately\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eFactor\u003c\/th\u003e\n\u003cth\u003eSourcing Separately\u003c\/th\u003e\n\u003cth\u003eCompoden Kit\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eCompatibility checks\u003c\/td\u003e\n\u003ctd\u003eYou verify every part\u003c\/td\u003e\n\u003ctd\u003ePre-tested as a system\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eBuild support\u003c\/td\u003e\n\u003ctd\u003eForums and scattered tutorials\u003c\/td\u003e\n\u003ctd\u003eAI companion trained on this exact project\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eTime to first working build\u003c\/td\u003e\n\u003ctd\u003eDays of debugging\u003c\/td\u003e\n\u003ctd\u003eHours, with step-by-step guidance\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eShipping coordination\u003c\/td\u003e\n\u003ctd\u003eMultiple sellers, multiple delays\u003c\/td\u003e\n\u003ctd\u003eOne shipment from Bengaluru in 3-5 days\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWho This Kit Is For\u003c\/h2\u003e\n\u003cp\u003eDesigned for B.Tech and M.Tech students of ECE, EEE, CSE, and Mechatronics who are tackling autonomous vehicle capstone projects, as well as Ph.D. researchers prototyping SLAM algorithms. It's equally at home in the robotics labs of IITs, NITs, VIT, and BITS Pilani, and it gives Smart India Hackathon teams a proven hardware stack to demonstrate autonomous navigation within a weekend.\u003c\/p\u003e\n\n\u003ch2\u003eBuilt and Backed by Compoden\u003c\/h2\u003e\n\u003cp\u003eEvery Compoden kit ships with an AI build companion trained on this exact project - accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.\u003c\/p\u003e\n\n\u003cdetails\u003e\u003csummary\u003eWhat if I get stuck during the build?\u003c\/summary\u003e\u003cp\u003eScan the QR code on the box to open the AI companion trained on this exact kit. It walks you through every connection, driver installation, and ROS2 launch file. For quick doubts, WhatsApp our support team directly.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDo I need a chassis or motors to get started?\u003c\/summary\u003e\u003cp\u003eThe kit provides the motor driver and all control logic, but the robot chassis, wheels, and DC motors are not included. Any 4-wheel differential-drive chassis with encoder-fitted motors works perfectly; we recommend a standard metal chassis, which you can find on our store or source locally.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eIs ROS2 pre-installed on the Raspberry Pi?\u003c\/summary\u003e\u003cp\u003eNo. The Raspberry Pi 5 ships with a blank NVMe SSD. You'll flash Ubuntu Server 22.04 and install ROS2 Humble using our step-by-step guide. The AI companion automates the terminal commands and checks your installation.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan this kit be used for a hackathon or college project?\u003c\/summary\u003e\u003cp\u003eYes. The entire subsystem is designed to be demo-ready within 8-10 hours of assembly. Teams have used this exact hardware at Smart India Hackathon and final-year reviews, achieving full SLAM and obstacle avoidance on show day without last-minute sensor integration panic.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003eRaspberry Pi 5 with IMU, LIDAR, camera and motor controller - ROS2 nodes for localisation, mapping and obstacle avoidance.\u003c\/p\u003e\n  \u003ch4\u003eWhat's in this kit\u003c\/h4\u003e\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/raspberry-pi-5-model-b-8gb-high-performance-single-board-computer\"\u003eRaspberry Pi 5 8GB\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/rplidar-a1-360-laser-scanner-for-robotics-slam-compoden\"\u003eRPLidar A1\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/4-channel-relay-board-for-esp32-30-pin-5v-control\"\u003ePi Camera Module 3\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/mpu9250-9-axis-sensor-module-gyro-accel-magnetometer\"\u003eMPU9250 IMU\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003eCytron Motor Driver\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/official-raspberry-pi-m2-hat-nvme-ssd-add-on-board-for-pi-5\"\u003eNVMe SSD 256GB\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/raspberry-pi-5-pcie-to-m2-nvme-ssd-expansion-board-by-elecrow\"\u003ePi 5 M.2 HAT+\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/raspberry-pi-4-official-power-supply-5v-3a-usb-c-compoden\"\u003eUSB-C PSU\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003eM-M Wires x20\u003c\/li\u003e\n  \u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is included in the Research Lab Kit 7 Autonomous Vehicle Subsystem?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The Research Lab Kit 7 Autonomous Vehicle Subsystem includes all components needed: Raspberry Pi 5 8GB, RPLidar A1, Pi Camera Module 3, MPU9250 IMU, Cytron Motor Driver and more. Everything is pre-tested for compatibility and shipped from Bengaluru, India.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What skill level is required for the Research Lab Kit 7 Autonomous Vehicle Subsystem?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This kit is designed for Advanced level makers, suitable for ages 18-25. Raspberry Pi 5 with IMU, LIDAR, camera and motor controller - ROS2 nodes for localisation, mapping and obstacle avoidance. Estimated build time is 8-10 hrs.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I buy the Research Lab Kit 7 Autonomous Vehicle Subsystem online in India?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, the Research Lab Kit 7 Autonomous Vehicle Subsystem is available online at Compoden (compoden.in), India's AI-powered electronics and robotics store. Ships from Bengaluru in 1-5 business days across India.\"\n      }\n    }\n  ]\n}\n\u003c\/script\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"Product\",\n  \"name\": \"Research Lab Kit 7 Autonomous Vehicle Subsystem\",\n  \"description\": \"Raspberry Pi 5 with IMU, LIDAR, camera and motor controller - ROS2 nodes for localisation, mapping and obstacle avoidance.\",\n  \"sku\": \"CDN-KIT-2740\",\n  \"brand\": {\"@type\": \"Brand\", \"name\": \"Compoden\"},\n  \"offers\": {\n    \"@type\": \"Offer\",\n    \"url\": \"https:\/\/compoden.in\/products\/kit-research-lab-kit-7--autonomous-vehicle-subsystem\",\n    \"priceCurrency\": \"INR\",\n    \"price\": \"49000\",\n    \"availability\": \"https:\/\/schema.org\/InStock\",\n    \"seller\": {\"@type\": \"Organization\", \"name\": \"Compoden\"}\n  },\n  \"category\": \"Lab Classroom Kits\"\n}\n\u003c\/script\u003e","brand":"Compoden","offers":[{"title":"Default Title","offer_id":53469383000429,"sku":"CDN-KIT-2740","price":56380.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0999\/3997\/5533\/files\/kit-research-lab-kit-7-autonomous-vehicle-subsystem.png?v=1781948651","url":"https:\/\/compoden.com\/products\/ros2-autonomous-vehicle-research-kit-raspberry-pi-5-lidar-camera","provider":"Compoden","version":"1.0","type":"link"}