By ATN Editorial Team
- fka and DVN have formed a consortium to further develop test methods for LiDAR performance evaluation
- Project focus is on an industry-accepted definition of test methods addressing adverse conditions
- Methodology covers three aspects of adverse conditions: adverse weather, contamination and interference
LiDAR sensors (Light Detection and Ranging) offer precise measurements combined with the ability to provide three-dimensional scans of the vehicle environment. This combination positions LiDAR sensors as a key technology for the transition from SAE level 3 autonomy to the higher levels of autonomy. The potential to offer redundancy to existing sensor technologies for environment perception is further evident in the increasing number of LiDAR sensors and the increasing number of OEMs choosing to offer vehicle models with LiDAR sensors. There are many different underlying technologies which are a combination of measurement principles, scanning, emitter and receiver technologies. This makes a comparison between LiDAR performance difficult.
To address this, an industrial consortium led by fka together with the German Institute for Standardisation (DIN) and the Society of Automotive Engineers (SAE) published the DIN SAE Specification 91471 in April 2023. Through this specification, a base methodology for the performance evaluation of LiDAR sensors irrespective of the sensor design and underlying technology is achieved. The specification covers performance evaluation when the test conditions are ideal (dry weather, dry test surface, clean sensor surface and transmission medium, no interference with other LiDAR sensors, etc.).
In October 2023, fka GmbH launched a new industrial consortium together with the Driving Vision News (DVN) network to create a test methodology for performance evaluation of LiDAR sensors when subjected to non-ideal or adverse conditions. The LiDAR performance in adverse conditions project covers three main pillars of adverse conditions that potentially affect LiDAR performance:
- Adverse weather such as rain or fog
- Contamination of sensor surface through dirt or contamination of transmission medium through road spray or dust
- Interference with other LiDAR sensors or cameras
The project is scheduled to end in December 2024 with the aim of having an industry-wide accepted definition of test methods for adverse conditions. Some of these test methods shall also be validated with multiple LiDAR sensors available within this project. Upon project conclusion in 2024, the process to submit these test definitions for the formulation of a new standard addressing adverse conditions in 2025 shall be started.
The consortium consists of 9 industry partners with OEMs, LiDAR manufacturers and Tier 1 suppliers and LiDAR component suppliers being part of the mix. OEMs such as Volvo Cars Corporation, TORC Robotics and Honda R&D Europe joined along with LiDAR manufacturers and Tier 1 suppliers such as Valeo, Microvision and Luminar Technologies. The final two technological partners are Scantinel Photonics, a silicon photonics based FMCW LiDAR startup along with CHASM Advanced Materials, a leading provider of transparent LiDAR screen heating solutions, using cutting-edge carbon nanotube/copper micromesh technology.
For more lidar technology news, click here.
