WestNet’s Level 2 Autonomous Toyota Landcruiser

The Ultimate Fusion of Toyota, Denso, and WiFi Innovation

Announcement:
Started in 2012 in Calgary, our breakthrough system uses live analog feedback (no drive-by-wire) combined with decision-making powered by Ladar and Sony CMOS data via CANBUS WestNetV2.
Redundant real-time feedback via C++, PHP, and Bash running every 0.002ms on a Quadcore QX9650 CPU. A true Calgary innovation.

Overview

In a groundbreaking fusion of classic automotive engineering and modern digital innovation, WestNet has developed a Level 2 autonomous solution for the 2000 Toyota Landcruiser (US model). Leveraging advanced mechanical controls, sophisticated CANbus protocols, deep integration with Denso's cutting-edge sensor modules, and WestNet’s renowned WiFi network, this project represents one of Canada's first full-scale autonomous vehicle systems built entirely in-house.

The system actively runs on Windows 7 and processes data in real time, ensuring swift decision-making even in complex driving scenarios. From sub-zero Calgary winters to dusty off-road terrains, the Landcruiser’s reliability combined with WestNet’s robust technology stack forms a platform that’s both innovative and resilient.

Mechanical Controls

Our proprietary control systems ensure sub-millimeter precision in vehicle dynamics. By integrating custom PID algorithms with real-time sensor feedback, we achieve unparalleled control over drive, steering, and braking. The analog feedback approach means no reliance on purely drive-by-wire systems—granting direct mechanical authority over critical components.

// Initialize advanced mechanical sensor calibration
function calibrateMechanicalSensors() {
  let calibrationData = [];
  for (let i = 0; i < sensorCount; i++) {
    // Using iterative PID loops for sub-millimeter calibration
    calibrationData.push(getSensorReading(i) - baseline[i]);
  }
  return calibrationData;
}

// Real-time control cycle for mechanical adjustments
function executeMechanicalControl() {
  const sensorData = calibrateMechanicalSensors();
  const commands = advancedPIDController(sensorData);
  applyMechanicalActuation(commands);
}
      

CANbus Integration

By harnessing the power of CANbus technology, our system provides seamless communication between all vehicle subsystems. This enables real-time command execution, ensuring swift and precise responses during autonomous operations. With WestNet V2 protocols layered on top of standard CAN, data is broadcast and processed in microseconds, maintaining unmatched responsiveness.

// Define CANbus message identifiers
const CAN_MESSAGE = {
  SENSOR_DATA: 0x100,
  CONTROL_CMD: 0x200,
  DIAGNOSTICS: 0x300,
};

function processCANbusMessage(message) {
  switch (message.id) {
    case CAN_MESSAGE.SENSOR_DATA:
      processSensorInput(message.data);
      break;
    case CAN_MESSAGE.CONTROL_CMD:
      executeControlCommand(message.data);
      break;
    case CAN_MESSAGE.DIAGNOSTICS:
      runDiagnostics(message.data);
      break;
    default:
      console.warn("Unknown CANbus ID:", message.id);
  }
}
      

Denso & Toyota OEM Integration

In collaboration with Toyota’s OEM standards and leveraging Denso’s advanced sensor and ECU technologies, our autonomous system meets the highest standards of reliability and safety. Denso’s modules facilitate enhanced sensor fusion, real-time diagnostics, and adaptive control strategies to ensure every function of the Landcruiser adheres to Toyota's stringent engineering protocols.

// Integration with Denso sensor modules and Toyota's ECU framework
function integrateDensoECU() {
  const densoData = readDensoModule(); // Real-time sensor fusion data
  const toyotaCompliance = checkToyotaStandards(densoData);
  if (toyotaCompliance) {
    adjustControlParameters(densoData);
  }
}

function readDensoModule() {
  // Simulated read from Denso sensor/ECU
  return {
    temperature: Math.random() * 100,
    pressure: Math.random() * 50,
    vibration: Math.random() * 10
  };
}
      

Steering Controls & Windows 7 Compatibility

Our system seamlessly reads and integrates data from dedicated steering sensors via our proprietary steering control module. The WestNet Steering Controls (illustrated below) ensure precise trajectory adjustments in real time. Designed to run flawlessly under Windows 7, this control module processes steering input data and merges it into the autonomous system without relying on factory drive-by-wire.

WestNet Steering Controls
// Example: Steering sensor data integration
function readSteeringSensors() {
  let steeringData = getSteeringSensorData(); // Read raw sensor values
  // Process data with custom filters and PID adjustments
  return processSteeringData(steeringData);
}

function integrateSteeringControl() {
  const steeringInput = readSteeringSensors();
  // Merge steering input with overall vehicle control commands
  updateVehicleTrajectory(steeringInput);
}
      

Advanced WiFi Infrastructure

WestNet’s proprietary WiFi network provides not only city-wide connectivity but also a direct interface with the autonomous control system. This integration enables live telemetry, remote diagnostics, and seamless software updates—ensuring the vehicle remains in constant communication with our central command.

// WiFi telemetry integration for real-time data exchange
function transmitTelemetry() {
  const telemetryData = {
    gps: getGPSData(),
    sensorData: gatherSensorMetrics(),
    controlStatus: fetchControlStatus()
  };
  // Transmit data securely over WestNet's advanced WiFi network
  WiFiModule.send(JSON.stringify(telemetryData));
}
      

Blueprint & CAD Design

Our technical blueprints intricately merge the classic design of the 100 Series Landcruiser with state-of-the-art autonomous system architecture. Detailed CAD schematics reveal the interconnection of structural reinforcements, sensor arrays, and actuator placements—each element engineered for optimal performance in challenging terrains.

Below, we showcase a live “blueprint” diagram with sensor nodes and a CANbus overlay, along with key specifications for the Landcruiser’s mechanical and electronic systems.

Core Specifications

Powertrain

4.7L 2UZ-FE V8
Modified for autonomous operation
Redundant electronic throttle control

Autonomous Hardware

LIDAR: Velodyne VLP-32C
Radar: Continental ARS408
Cameras: Sony CMOS Array

Compute System

Quadcore QX9650
(Windows 7, 0.002ms loops)
Real-time kernel patches

Network Architecture

Triple-redundant CANbus
WestNetV2 Protocol
City-wide WiFi link

CANbus Architecture

[Main ECU] --- [Sensor Hub]
   |            |
[Backup ECU]  [Compute Cluster]
   |            |
[Actuator Control] --- [WiFi Gateway]
              

Mechanical Interface

Steering: 
Electro-hydraulic override
Braking: 
Dual-channel vacuum boost
Throttle: 
Analog feedback loop
            

Sensor Fusion

Update Rate: 500Hz
Latency: <2ms
Accuracy: ±1cm
            

Safety Systems

ISO 26262 ASIL-D
Triple redundancy
Fail-operational
            

System Identification

VIN: JTEHT05JX02039475 [AUTONOMOUS]
SW Version: WestNetOS 4.2.1b
HW Revision: WN-ALU-100-2025
Certification: SAE L2
          

Real-Time Simulation & Predictive Analytics

Experience the heartbeat of our autonomous system through a dynamic simulation. The real-time canvas below visualizes sensor data, control responses, and predictive analytics—a true representation of our vehicle’s decision-making process.

// Simulation loop for telemetry and predictive analytics
function simulationLoop() {
  updateTelemetryData();
  renderSimulation();
  requestAnimationFrame(simulationLoop);
}
simulationLoop();