6 citations · 18 across the 5 of their papers we have counts for
5 papers
A Geometric Approach to On-road Motion Planning for Long and Multi-Body Heavy-Duty Vehicles
Rui Oliveira, Oskar Ljungqvist, Pedro F. Lima +2
Driving heavy-duty vehicles, such as buses and tractor-trailer vehicles, is a difficult task in comparison to passenger cars. Most research on motion planning for autonomous vehicl…
Optimization-Based On-Road Path Planning for Articulated Vehicles
Rui Oliveira, Oskar Ljungqvist, Pedro F. Lima +1
Maneuvering an articulated vehicle on narrow road stretches is often a challenging task for a human driver. Unless the vehicle is accurately steered, parts of the vehicle's bodies…
Path Planning for Autonomous Bus Driving in Urban Environments
Rui Oliveira, Pedro F. Lima, Gonçalo Collares Pereira +2
Driving in urban environments often presents difficult situations that require expert maneuvering of a vehicle. These situations become even more challenging when considering large…
Trajectory Generation using Sharpness Continuous Dubins-like Paths with Applications in Control of Heavy Duty Vehicles
Rui Oliveira, Pedro F. Lima, Marcello Cirillo +2
We present a trajectory generation framework for control of wheeled vehicles under steering actuator constraints. The motivation is smooth autonomous driving of heavy vehicles. The…
Trajectory Planning Under Vehicle Dimension Constraints Using Sequential Linear Programming
Mogens Graf Plessen, Pedro F. Lima, Jonas Martensson +2
This paper presents a spatial-based trajectory planning method for automated vehicles under actuator, obstacle avoidance, and vehicle dimension constraints. Starting from a nonline…