This paper presents a novel backdoor attack called IMPlicit BackdOor Attack through
Scenario InjecTION (IMPOSITION) that does not require direct poisoning of the training data …

Autonomous driving vehicles can effectively improve traffic conditions and promote the
development of intelligent transportation systems. An autonomous vehicle can be divided …

With the rapid development of artificial intelligence technology, the deep learning method
has been introduced for vehicle trajectory prediction in the internet of vehicles, since it …

In autonomous driving systems, predicting the trajectory of surrounding vehicles facilitates
the decision-making and trajectory planning of ego cars. Most previous works train the …

Deep probabilistic forecasting is gaining attention in numerous applications ranging from
weather prognosis, through electricity consumption estimation, to autonomous vehicle …

Real-time, accurate prediction of human steering behaviors has wide applications, from
developing intelligent traffic systems to deploying autonomous driving systems in both real …

The accurate prediction of the future trajectories of traffic participants is crucial for enhancing
the safety and decision-making capabilities of autonomous vehicles. Modeling social …

Traffic accidents cause a large number of casualties and economic losses every year. The
primary causes of traffic accidents are the inadvertent response and inappropriate disposal …

Forecasting the motion of surrounding traffic is one of the key challenges in the quest to
achieve safe autonomous driving technology. Current state-of-the-art deep forecasting …

To handle two shortcomings of existing methods,(i) nearly all models rely on the high-
definition (HD) maps, yet the map information is not always available in real traffic scenes …