3 accepted papers
With the Autonomous Vehicle (AV) industry shifting towards machine-learned approaches for motion plan-ning [1], the performance of self-driving systems is starting to rely heavily on large quantities of expert driving demon-strations. However, collecting this demonstration data typically involves ex…
We investigate what grade of sensor data is required for training an imitation-learning-based AV planner on human expert demonstration. Machine-learned planners [1] are very hungry for training data, which is usually collected using vehicles equipped with the same sensors used for autonomous operati…
Real-time monocular SLAM is increasingly mature and entering commercial products. However, there is a divide between two techniques providing similar performance. Despite the rise of ‘dense’ and ‘semi-dense’ methods which use large proportions of the pixels in a video stream to estimate motion and s…