Pith. sign in

REVIEW 3 cited by

F1/10: An Open-Source Autonomous Cyber-Physical Platform

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1901.08567 v1 pith:ZEZ5SUU2 submitted 2019-01-24 cs.RO

F1/10: An Open-Source Autonomous Cyber-Physical Platform

classification cs.RO
keywords autonomousplatformtestbedvehiclesfullopen-sourceresearchsafety
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original 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.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Safe Local Navigation for Ackermann-Steered Robots in Unmapped Environments

    cs.RO 2026-06 unverdicted novelty 5.0

    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.

  2. TEACar: An Open-Source Autonomous Driving Platform

    cs.RO 2026-04 unverdicted novelty 5.0

    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.

  3. TEACar: An Open-Source Autonomous Driving Platform

    cs.RO 2026-04 unverdicted novelty 4.0

    TEACAR is an open-source small-scale autonomous driving platform with modular mechanical architecture and ROS 2 software, evaluated via CNN steering controllers for use as a scalable testbed in intelligent transportat...