Watch this: Scalable cost-function learning for path planning in urban environments
Online Speed Adaptation Using Supervised Learning for High-Speed, Off-Road Autonomous Driving
Exploration and Mapping with Autonomous Robot Teams Results from the MAGIC 2010 Competition
Low speed automation: Technical feasibility of the driving sharing in urban areas
Path selection based on local terrain feature for unmanned ground vehicle in unknown rough terrain environment
Trajectory Based Autonomous Vehicle Following using a Robotic Driver