Interactive Planning for Autonomous Urban Driving in Adversarial Scenarios
Yuanfu Luo,Malika Meghjani,Qi Heng Ho,David Hsu,Daniela Rus,Yuanfu Luo,Malika Meghjani,Qi Heng Ho,David Hsu,Daniela Rus
Autonomous urban driving among human-driven cars requires a holistic understanding of road rules, driver intents and driving styles. This is challenging as a short-term, single instance, driver intent of lane change may not correspond to their driving styles for a longer duration. This paper presents an interactive behavior planner which accounts for road context, short-term driver intent, and lon...