Daza et al., 2023 - Google Patents
Sim-to-real transfer and reality gap modeling in model predictive control for autonomous drivingDaza et al., 2023
View HTML- Document ID
- 12347081702798546651
- Author
- Daza I
- Izquierdo R
- Martínez L
- Benderius O
- Llorca D
- Publication year
- Publication venue
- Applied Intelligence
External Links
Snippet
The main challenge for the adoption of autonomous driving is to ensure an adequate level of safety. Considering the almost infinite variability of possible scenarios that autonomous vehicles would have to face, the use of autonomous driving simulators is becoming of utmost …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Daza et al. | Sim-to-real transfer and reality gap modeling in model predictive control for autonomous driving | |
| Sukthankar | Situation awareness for tactical driving | |
| Al-Gabalawy et al. | Model predictive control for a basic adaptive cruise control: M. Al-Gabalawy et al. | |
| Lu et al. | Autonomous overtaking for intelligent vehicles considering social preference based on hierarchical reinforcement learning | |
| Németh et al. | Optimal control of overtaking maneuver for intelligent vehicles | |
| O'Kelly et al. | APEX: Autonomous vehicle plan verification and execution | |
| Zhao et al. | Measuring sociality in driving interaction | |
| Wang et al. | Velocity planning method base on fuzzy neural network for autonomous vehicle | |
| Kim et al. | Vehicle’s lateral motion control using dynamic mode decomposition model predictive control for unknown model | |
| Kim et al. | K-smpc: Koopman operator-based stochastic model predictive control for enhanced lateral control of autonomous vehicles | |
| Yu et al. | Parallel parking path planning and tracking control based on simulated annealing algorithm | |
| Dekkata et al. | LiDAR-based obstacle detection and avoidance for navigation and control of an unmanned ground robot using model predictive control | |
| Ma et al. | New simulation tools for training and testing automated vehicles | |
| Dekkata | Model predictive control for unmanned ground vehicles using robot operating system | |
| Farkas et al. | Speed control with low complexity for multiple autonomous vehicles in roundabouts | |
| Morgado et al. | Enhancing autonomous vehicles: An experimental analysis of path planning and decision-making processes through simulink-based architecture | |
| Zea et al. | Dynamic simulation and kinematic control for autonomous driving in automobile robots | |
| Zieglmeir | Trajectory Modeling for Autonomous Driving Based on Repulsive Field Method | |
| Grottoli et al. | A high fidelity driving simulation platform for the development and validation of advanced driver assistance systems | |
| Ayyagari | Comparative Study of Model-Based Lateral Controllers with Selected Deep Learning Methods for Autonomous Driving | |
| Zhang et al. | Stochastic Optimization of Adaptive Cruise Control | |
| McNally | Driver Control and trajectory optimization applied to lane change maneuver | |
| Zhao | Limit Handling Vehicle Control for Improving Automated Vehicle Safety | |
| Ren | Enhancing Autonomous Vehicle Control Systems: Vehicle Motion Uncertainty Quantification and Risk-Aware Control Strategies | |
| Lu | Local Path Planning and Path Tracking Control Based on Explicit MPC |