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Requirements for Automotive LiDAR Systems
Zhuoqun Dai1, Alexander Wolf1,2, Peer-Phillip Ley1
1Institute of Product Development, Leibniz University Hannover, 30823 Garbsen, Germany.
Sensors (Basel, Switzerland)
|October 14, 2022
Summary
This study derives essential technical requirements for automotive Light Detection and Ranging (LiDAR) systems based on Advanced Driver-Assistance Systems (ADAS) functions. It analyzes key metrics like detection range, field of view, and angular resolution for safe autonomous driving.
Area of Science:
- Automotive Engineering
- Sensor Technology
- Robotics and Autonomous Systems
Background:
- Light Detection and Ranging (LiDAR) is crucial for autonomous driving, but standardized technical requirements are lacking in automotive applications.
- Existing LiDAR systems vary widely in design and specifications, necessitating a data-driven approach to define performance criteria.
- Current literature inadequately addresses the specific automotive context for LiDAR, including range, resolution, field of view, and safety.
Purpose of the Study:
- To derive and analyze critical technical requirements for automotive LiDAR systems.
- To establish performance metrics based on Advanced Driver-Assistance Systems (ADAS) functions and driving scenarios.
- To investigate the impact of different LiDAR radiation patterns on detection range and overall system performance.
Main Methods:
- Analysis of key LiDAR metrics: detection range, field of view, angular resolution, and laser safety.
- Investigation of detection range variations across different LiDAR radiation patterns.
- Derivation of LiDAR requirements from ADAS functions, considering vehicle speeds and lane coverage.
- Utilization of the KITTI dataset and 3D detection algorithms to determine angular resolution limits.
Main Results:
- Quantified detection range and field of view requirements for LiDAR based on ADAS functions and varying travel speeds.
- Established angular resolution limits for LiDAR systems using the KITTI dataset and exemplary detection algorithms.
- Comparison of maximum detection ranges for different radiation patterns under derived requirements and laser safety constraints.
Conclusions:
- Derived LiDAR requirements are essential for ensuring the safety and effectiveness of autonomous driving systems.
- The study provides a foundational analysis for specifying automotive LiDAR performance, bridging the gap between sensor capabilities and ADAS needs.
- Consideration of radiation patterns and laser safety is critical for optimizing LiDAR performance in real-world driving conditions.
