LeddarTech has introduced what it claims is the first full-waveform sensor dataset from a 3D solid-state flash lidar sensor for advanced driver assistance systems (ADAS) and autonomous driving research and development.
Pixset will allow academic and engineering research teams specializing in ADAS and autonomous technology to use existing sets of sensor data to test and develop advanced software to run simulations without having to assemble new sensor suites and collect their own dataset.
In the development of the dataset, LeddarTech used an instrumented vehicle with various scenes being recorded in high-density urban and suburban environments as well as on the highway. The data included exposure to various weather, lighting and illumination conditions as well as real-world data for ADAS and self-driving vehicles.
The dataset includes data from an autonomous vehicle’s comprehensive sensor suit, a full-waveform from 3D solid-state flash lidars, 29,000 frames in 97 sequences with more than 1.3 million 3D boxes annotated and includes an open-source API and dataset viewer.
The Pixset was developed with Deepen AI that provided object annotations to provide an opportunity for 3D computer vision to go beyond lidar point clouds with a full waveform lidar dataset.
