LeddarTech announces its first publicly available sensor dataset for advanced driver assistance and autonomous driving research and development called the Leddar PixSet. This dataset is the first of its kind in the industry to include full-waveform data from LeddarTech’s Leddar Pixell, a 3D solid-state flash LiDAR sensor. LeddarTech will offer these datasets free of charge for academic and research purposes.
Sensor fusion techniques are widely used to improve the performance and robustness of computer vision algorithms. Datasets such as the Leddar PixSet allow academic and engineering research teams specializing in ADAS and AD technology to use existing sets of sensor data to test and develop advanced software and to run simulations without having to assemble new sensor suites and collect their own dataset.
An instrumented vehicle was utilized in the development of the dataset. The various scenes were recorded in high-density urban and suburban environments as well as on the highway. The data was further augmented through exposure to various weather, lighting (e.g., sunny, cloudy, rainy), and illumination (e.g., day, night, twilight) conditions. The Leddar PixSet provides information from a wide variety of situations, creating real-world data for advanced driver assistance and autonomous driving.
Dataset key features: Data from an autonomous vehicle’s comprehensive sensor suite; Includes full-waveform data from 3D solid-state flash LiDARs; 29k frames in 97 sequences, with more than 1.3M 3D boxes annotated; Various environments, weather conditions, and times of day; Open-source API and dataset viewer;
The Leddar PixSet was developed with the collaboration of Silicon Valley-based Deepen AI, which provided comprehensive object annotations. These new datasets provide an opportunity for 3D computer vision to go beyond LiDAR point clouds with a full-waveform LiDAR dataset and are now available on the LeddarTech website.
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