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 …

Adverse weather conditions and occlusions in urban environments result in impaired
perception. The un-certainties are handled in different modules of an automated vehicle …

Autonomous vehicles face numerous challenges to ensure safe operation in unpredictable
and hazardous conditions. The autonomous driving environment is characterized by high …

Autonomous driving in urban environment needs to anticipate a number of dangerous
events, such as the presence of moving vehicles in occluded areas. This paper presents an …

One of the challenges of developing autonomous vehicles is planning in an inhabited
environment under sensing uncertainty as well as limited perception and computational …

Risk assessment to quantify the danger associated with taking a certain action is critical to
navigating safely through crowded urban environments during autonomous driving. Risk …

Navigation in congested environments is a challenge for autonomous vehicles and they
should consider collision risk metric into their driving behavior. In this paper, we propose a …

Navigating safely in urban environments remains a challenging problem for autonomous
vehicles. Occlusion and limited sensor range can pose significant challenges to safely …

The safety of an autonomous vehicle not only depends on its own perception of the world
around it, but also on the perception and recognition from other vehicles. If an ego vehicle …

Trajectory planning is one of the most important modules of the Autonomous Driving
Systems (ADSs), which aims to achieve a safe and comfortable interaction between the …