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STC-GAN: Spatio-Temporally Coupled Generative Adversarial Networks for Predictive Scene Parsing

Pedestrian Image Generation for Self-driving Cars

Manifold Learning and Optimal Control for Obstacle Avoidance in Autonomous Driving

PifPaf: Composite Fields for Human Pose Estimation

Using Uncertainty Data in Chance-Constrained Trajectory Planning

Object Classification Based on Unsupervised Learned Multi-Modal Features For Overcoming Sensor Failures

SegMap: Segment-based mapping and localization using data-driven descriptors

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars

Ultrafast optical ranging using microresonator soliton frequency combs