A planning and control system for self-driving racing vehicles
Autonomous robots will soon enter our everyday life as self-driving cars. These vehicles are
designed to behave according to certain sets of cooperative rules, such as traffic ones, and …
designed to behave according to certain sets of cooperative rules, such as traffic ones, and …
Hierarchical reinforcement learning approach for the road intersection task
M Shikunov, AI Panov - … Cognitive Architectures 2019: Proceedings of the …, 2020 - Springer
The task of building unmanned automated vehicle (UAV) control systems is developing in
the direction of complication of options for interaction of UAV with the environment and …
the direction of complication of options for interaction of UAV with the environment and …
Coincar-sim: An open-source simulation framework for cooperatively interacting automobiles
While motion planning techniques for automated vehicles in a reactive and anticipatory
manner have already been widely presented, cooperative motion planning has only been …
manner have already been widely presented, cooperative motion planning has only been …
Towards the design of robotic drivers for full-scale self-driving racing cars
Autonomous vehicles are undergoing a rapid development thanks to advances in
perception, planning and control methods and technologies achieved in the last two …
perception, planning and control methods and technologies achieved in the last two …
A software architecture for the dynamic path planning of an autonomous racecar at the limits of handling
Based on a software architecture for autonomous driving presented and tested in an
autonomous level-5 race-car in 2018 this paper describes in detail the evolutionary …
autonomous level-5 race-car in 2018 this paper describes in detail the evolutionary …
Driverless car: Autonomous driving using deep reinforcement learning in urban environment
Deep Reinforcement Learning has led us to newer possibilities in solving complex control
and navigation related tasks. The paper presents Deep Reinforcement Learning …
and navigation related tasks. The paper presents Deep Reinforcement Learning …
[HTML][HTML] The VILMA intelligent vehicle: an architectural design for cooperative control between driver and automated system
Intelligent autonomous vehicles have received a great degree of attention in recent years.
Although the technology required for these vehicles is relatively advanced, the challenge is …
Although the technology required for these vehicles is relatively advanced, the challenge is …
Autonomous vehicles on the edge: A survey on autonomous vehicle racing
The rising popularity of self-driving cars has led to the emergence of a new research field in
recent years: Autonomous racing. Researchers are developing software and hardware for …
recent years: Autonomous racing. Researchers are developing software and hardware for …
On the instrumentation and classification of autonomous cars
BC Zanchin, R Adamshuk, MM Santos… - … on systems, man …, 2017 - ieeexplore.ieee.org
Car makers are toward for the new generation of cars that tend to be more autonomous as
possible without the driver intervention being considered such as part of the intelligent …
possible without the driver intervention being considered such as part of the intelligent …
Autonovi: Autonomous vehicle planning with dynamic maneuvers and traffic constraints
We present AutonoVi, a novel algorithm for autonomous vehicle navigation that supports
dynamic maneuvers and integrates traffic constraints and norms. Our approach is based on …
dynamic maneuvers and integrates traffic constraints and norms. Our approach is based on …