… However, safety remains a critical hurdle in the way of commercialization and widespread
deployment of autonomous vehicles on public roads. Safety concerns require the autonomous …

… based algorithms to adapt motion plans to urban environments [25]. State-of-the-art research
has also encouraged implementation of these algorithms in previous autonomous vehicles […

… algorithm and two-way information interaction mechanism could achieve centimeterlevel
localization accuracy, which reaches the requirement of autonomous vehicle … similar algorithms. …

… We focus on the field of autonomous racecars only and display the algorithms, methods,
and approaches used in the areas of perception, planning, control, and end-to-end learning. …

… of platoon movement of autonomous vehicles (smart cars). These vehicles have Adaptive or
… The vehicles are suitable to follow other vehicles on desired distance and to be organized …

… such as autonomous vehicle systems. The proposed technique is implemented on a small-scale
autonomous vehicle in the … In reality, this can be achieved by using onboard laser senor. …

… Regarding algorithm choice, EAs are considered viable search algorithms for real-time UAV
… in this paper is based on a modified genetic algorithm (GA) [14] capable of finding global …

… autonomous vehicle must first be able to analyse the environmental data captured from the
on-board … Understanding the location and shape of the roadway near autonomous vehicle is …

… Avs use it to provide an optimal path for the vehicle in real-time based on onboard sensors
… In this paper, we will look at some of the different path planning algorithms developed over …

… onboard sensors that are mounted on the vehicle at … autonomous vehicle pathplanning
algorithm for AVs in the presence of dynamic obstacles. Building block of the proposed algorithm …