LiDARLiDAR
Laser-based 3D distance sensing for dense point-cloud perception and autonomous driving.
Standards
- ISO 26262 development path
- Project-defined performance
- Sensor-fusion ready
- ADAS/AD applications
System overview
LiDAR (Light Detection and Ranging) uses laser pulses and time-of-flight measurement to build a 3D point-cloud representation of the vehicle’s surroundings. Depending on the selected sensor and program requirements, the data can support object localization, road-boundary perception, path planning, and collision-avoidance functions. LiDAR can be fused with camera and radar inputs as part of an ADAS or automated-driving perception architecture.
Laser time-of-flight 3D environmental mapping
Project-defined range, resolution, and accuracy targets
Dense point cloud for path planning and collision avoidance
Fuses with cameras and radar for robust perception
Technical profile
Capabilities and technical values are program-dependent and must be confirmed against the applicable OEM requirements, vehicle architecture and validation plan.
Problems it solves
- Solves the need for precise 3D structure of the environment.
- Enables reliable path planning and obstacle avoidance.
- Complements camera and radar in complex driving scenarios.
Typical applications
- Autonomous vehicles requiring dense 3D perception.
- ADAS platforms fusing lidar with camera and radar.
- Programs for path planning and collision avoidance.
Technical profile
- Principle
- Laser pulses with time-of-flight measurement
- Performance
- Range, resolution, and accuracy defined by the selected sensor and program
- Output
- Dense 3D point cloud of the surroundings
- Role
- Path planning, collision avoidance, autonomous decisions
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