SEMI-014: Automotive, Solid-State, FMCW LiDAR Systems
LiDAR Specifications
🔢 Range Calculator
📡 Point Cloud
🔗 ADAS Integration
🧪 Testing Suite
LiDAR Specifications Configurator
Configure and compare different LiDAR sensor specifications
Performance Analysis
Note: Mechanical scanners offer 360° coverage but have moving parts. Solid-state LiDARs (MEMS, OPA, Flash) have no moving parts, enabling compact designs and higher reliability. FMCW LiDAR can measure velocity directly and has better interference immunity.
🔢 Range and Resolution Calculator
Calculate range capabilities and resolution requirements
Time-of-Flight (ToF) Calculations
Range Calculation Results
Angular Resolution Calculator
Resolution Results
ToF Principle: Distance = (Speed of Light × Time) / 2 = (3×10⁸ m/s × t) / 2. For 200m range, round-trip time is ~1.33µs.
📡 Point Cloud Data Protocols
Configure point cloud output formats and protocols
Sample Point Cloud Data
ROS/ROS2 Integration
ROS Configuration
Standard Message Types: sensor_msgs/PointCloud2 (ROS), PCL PointXYZI/PointXYZRGB. Typical data rates: 10-100 Mbps for automotive LiDAR with 1M+ points/sec.
🔗 ADAS/AV Integration Configurator
Configure LiDAR integration with ADAS and autonomous vehicle systems
Sensor Fusion Configuration
Vehicle Integration
ADAS Integration Configuration
Key Standards: ISO 26262 (functional safety), AEC-Q100 (automotive qualification), IEC 60825 (laser safety Class 1). LiDAR + Camera fusion improves object detection accuracy by 20-30%.
🧪 LiDAR Testing and Validation Suite
Configure test scenarios and validation parameters
Environmental Testing
Test Condition
Standard
Pass Criteria
Rain (50mm/h)
ISO 22628
Detection range ≥ 100m
Fog (Visibility 50m)
SAE J2735
Detection ≥ 30m @ 10% reflectivity
Snow (Light/Heavy)
Custom
Point cloud noise < 5%
Direct Sunlight
ISO 11452
No false positives
Temperature Cycling
AEC-Q100
-40°C to +85°C, 1000 cycles
Performance Testing
Test Results
Interference Testing
Multi-LiDAR Interference: Test crosstalk between multiple LiDAR sensors. FMCW LiDAR has inherent immunity to interference. ToF LiDAR requires time-division or frequency-division multiplexing.