Motion planning for autonomous driving: The state of the art and future perspectives
Intelligent vehicles (IVs) have gained worldwide attention due to their increased
convenience, safety advantages, and potential commercial value. Despite predictions of …
convenience, safety advantages, and potential commercial value. Despite predictions of …
A review of motion planning for highway autonomous driving
L Claussmann, M Revilloud, D Gruyer… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …
that they will sell their driving automation modes in the 2020s. This technology raises …
Milestones in autonomous driving and intelligent vehicles—part ii: Perception and planning
A growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their
promise for enhanced safety, efficiency, and economic benefits. While previous surveys …
promise for enhanced safety, efficiency, and economic benefits. While previous surveys …
A review of motion planning techniques for automated vehicles
Intelligent vehicles have increased their capabilities for highly and, even fully, automated
driving under controlled environments. Scene information is received using onboard …
driving under controlled environments. Scene information is received using onboard …
[HTML][HTML] Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions
Currently autonomous or self-driving vehicles are at the heart of academia and industry
research because of its multi-faceted advantages that includes improved safety, reduced …
research because of its multi-faceted advantages that includes improved safety, reduced …
Autonomous driving on curvy roads without reliance on frenet frame: A cartesian-based trajectory planning method
Curvy roads are a particular type of urban road scenario, wherein the curvature of the road
centerline changes drastically. This paper is focused on the trajectory planning task for …
centerline changes drastically. This paper is focused on the trajectory planning task for …
Path smoothing techniques in robot navigation: State-of-the-art, current and future challenges
Robot navigation is an indispensable component of any mobile service robot. Many path
planning algorithms generate a path which has many sharp or angular turns. Such paths are …
planning algorithms generate a path which has many sharp or angular turns. Such paths are …
Plant: Explainable planning transformers via object-level representations
Planning an optimal route in a complex environment requires efficient reasoning about the
surrounding scene. While human drivers prioritize important objects and ignore details not …
surrounding scene. While human drivers prioritize important objects and ignore details not …
Dynamic path planning for autonomous driving on various roads with avoidance of static and moving obstacles
This paper presents a real-time dynamic path planning method for autonomous driving that
avoids both static and moving obstacles. The proposed path planning method determines …
avoids both static and moving obstacles. The proposed path planning method determines …
Real-time trajectory planning for autonomous urban driving: Framework, algorithms, and verifications
This paper focuses on the real-time trajectory planning problem for autonomous vehicles
driving in realistic urban environments. To solve the complex navigation problem, we adopt …
driving in realistic urban environments. To solve the complex navigation problem, we adopt …