Autonomous cars are currently widely studied in the automotive and robotics industries
because autonomous driving can satisfy the needs of human drivers regarding safety …

This paper proposes a map generation algorithm for a precise roadway map designed for
autonomous cars. The roadway map generation algorithm is composed of three steps …

Recently, there have been significant advances in self-driving cars, which will play key roles
in future intelligent transportation systems. In order for these cars to be successfully …

In the past decade, autonomous vehicles have received remarkable attention for the
efficiency and safety of road traffic. For more advanced autonomous driving systems, the …

This paper describes a fully automated driving algorithm on complex urban roads with
LiDAR, vision, and GPS/map based environment representation with guaranteed safety. The …

Autonomous driving requires general methods to generalize unpredictable situations and
reason in complex scenarios where safety is critical and the vehicle must react in a reliable …

Modern day, smart vehicles have many comfort functions and can support the driver in a
variety of traffic situations. This leads to increased safety and comfort. In road traffic …

Lane-level route planning is a critical issue for a lane-level navigation system for
autonomous vehicles. Current route-planning methods mainly focus on the road level and …

Different driving styles should be considered in path planning for autonomous vehicles that
are travelling alongside other traditional vehicles in the same traffic scene. Based on the …

Autonomous driving systems (ADSs) need to be able to respond quickly to changes in the
dynamic traffic scenario. However, regardless of the changes occurring in traffic scenes, the …