Yield or rush? social-preference-aware driving interaction modeling using game-theoretic framework
The newly formed hybrid traffic flow where Human-driven Vehicles (HV) share roads with
Autonomous Vehicles (AV) is a foreseeable trend in the modern transportation system …
Autonomous Vehicles (AV) is a foreseeable trend in the modern transportation system …
Autonomous vehicles' intended cooperative motion planning for unprotected turning at intersections
Turning behaviour is one of the most challenging driving manoeuvres that take place at
intersections. Autonomous vehicles (AVs) are often overly conservative in these scenarios …
intersections. Autonomous vehicles (AVs) are often overly conservative in these scenarios …
An algorithm for supervised driving of cooperative semi-autonomous vehicles
Before reaching full autonomy, vehicles will gradually be equipped with more and more
advanced driver assistance systems (ADAS), effectively rendering them semi-autonomous …
advanced driver assistance systems (ADAS), effectively rendering them semi-autonomous …
Scene classification prediction
Abstract Systems and techniques for scene classification and prediction is provided herein.
A first series of image frames of an environment from a moving vehicle may be captured …
A first series of image frames of an environment from a moving vehicle may be captured …
Generating efficient behaviour with predictive visibility risk for scenarios with occlusions
Safety is one of the most significant challenges for autonomous driving. However,
autonomous vehicles need also to be as efficient as possible while ensuring safety. In this …
autonomous vehicles need also to be as efficient as possible while ensuring safety. In this …
Generic vehicle tracking framework capable of handling occlusions based on modified mixture particle filter
Accurate and robust tracking of surrounding road participants plays an important role in
autonomous driving. However, there is usually no prior knowledge of the number of tracking …
autonomous driving. However, there is usually no prior knowledge of the number of tracking …
Towards a fatality-aware benchmark of probabilistic reaction prediction in highly interactive driving scenarios
In order to achieve safe and high-quality decision-making and motion planning, autonomous
vehicles should be able to generate accurate probabilistic predictions for uncertain behavior …
vehicles should be able to generate accurate probabilistic predictions for uncertain behavior …
Occlusion-aware MPC for guaranteed safe robot navigation with unseen dynamic obstacles
R Firoozi, A Mir, GS Camps, M Schwager - arXiv preprint arXiv …, 2022 - arxiv.org
For safe navigation in dynamic uncertain environments, robotic systems rely on the
perception and prediction of other agents. Particularly, in occluded areas where cameras …
perception and prediction of other agents. Particularly, in occluded areas where cameras …
Connectivity enhanced safe neural network planner for lane changing in mixed traffic
Connectivity technology has shown great potentials in improving the safety and efficiency of
transportation systems by providing information beyond the perception and prediction …
transportation systems by providing information beyond the perception and prediction …
Reliability and models of subjective motion incongruence ratings in urban driving simulations
Due to the difficulty of reproducing inertial motion of urban scenarios in moving-base driving
simulators, accurate evaluation methods of the motion are required. In this paper, an open …
simulators, accurate evaluation methods of the motion are required. In this paper, an open …