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...