Influences of weather phenomena on automotive laser radar systems
By R. Rasshofer, M. Spies, H. Spies. 2011
311 citations recorded by the source corpus.
Abstract. Laser radar (lidar) sensors provide outstanding angular resolution along with highly accurate range measurements and thus they were proposed as a part of a high performance perception system for advanced driver assistant functions. Based on optical signal transmission and reception, laser radar systems are influenced by weather phenomena. This work provides an overview on the different physical principles responsible for laser radar signal disturbance and theoretical investigations for estimation of their influence. Finally, the transmission models are applied for signal generation in a newly developed laser radar target simulator providing – to our knowledge – worldwide first HIL test capability for automotive laser radar systems.
Subfields: Biomedical Engineering, Instrumentation, Ophthalmology
View Paper: https://www.semanticscholar.org/paper/3166fe32780437824e35dbd23b79c8e923d5d51c
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Citations in the corpus
- The Impact of Adverse Weather Conditions on Autonomous Vehicles: How Rain, Snow, Fog, and Hail Affect the Performance of a Self-Driving Car (2019, background): “For example, [3] focused on the performance of lidar under various weather phenomena, and [4] investigated the rain effect on cameras.”
- Predicting the Influence of Rain on LIDAR in ADAS (2019, methodology): “Although the Velodyne VLP-16 sensor used in the simulations does not exactly match the specifications of the sensor used in [5], comparison of Figure 4 to Figure 9 from [5] shows very good qualitative agreement, demonstrating that the model derived in the previous section accurately captures the sal”
- Perception and sensing for autonomous vehicles under adverse weather conditions: A survey (2021, background): “[52] had already attempted to analyze the influences of weather on the automotive laser radar system.”