PixSet : An Opportunity for 3D Computer Vision to Go Beyond Point Clouds With a Full-Waveform LiDAR Dataset

Autonomous vehicles (AVs) have the potential to transform how transportation is done for people and merchandise, while improving both safety and efficiency. In order to reach the highest levels of autonomy, one of the main challenges that AVs are currently facing is to leverage the data from multiple types of sensors, each of which has its own strengths and weaknesses. Sensor fusion techniques are widely used to improve the performance and robustness of computer vision algorithms. Nowadays, the best performing computer vision algorithms are neural networks that are optimized using a deep learning approach [1-3], which requires large amount of data. Multiple datasets have been made publicly available in order to boost research and development of such algorithms [4-8].