A local navigation controller for Ackermann robots uses obstacle-based heading selection, quadratic optimization for bounding lines, and feedback linearization to maximize clearance in unmapped spaces.
F1/10: An open-source autonomous cyber-physical platform
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
abstract
In 2005 DARPA labeled the realization of viable autonomous vehicles (AVs) a grand challenge; a short time later the idea became a moonshot that could change the automotive industry. Today, the question of safety stands between reality and solved. Given the right platform the CPS community is poised to offer unique insights. However, testing the limits of safety and performance on real vehicles is costly and hazardous. The use of such vehicles is also outside the reach of most researchers and students. In this paper, we present F1/10: an open-source, affordable, and high-performance 1/10 scale autonomous vehicle testbed. The F1/10 testbed carries a full suite of sensors, perception, planning, control, and networking software stacks that are similar to full scale solutions. We demonstrate key examples of the research enabled by the F1/10 testbed, and how the platform can be used to augment research and education in autonomous systems, making autonomy more accessible.
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
TEACAR is an open-source small-scale autonomous car platform with decoupled modular hardware and ROS 2 integration, evaluated using three CNN-based steering controllers for latency, power, and runtime.
citing papers explorer
-
Safe Local Navigation for Ackermann-Steered Robots in Unmapped Environments
A local navigation controller for Ackermann robots uses obstacle-based heading selection, quadratic optimization for bounding lines, and feedback linearization to maximize clearance in unmapped spaces.
-
TEACar: An Open-Source Autonomous Driving Platform
TEACAR is an open-source small-scale autonomous car platform with decoupled modular hardware and ROS 2 integration, evaluated using three CNN-based steering controllers for latency, power, and runtime.