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.
Unifying f1tenth autonomous racing: Survey, methods and benchmarks
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cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Empirical comparison shows a clear sim-to-real gap in reset-free RL for agile driving: TD-MPC2 outperforms the MPPI baseline in the real world while SAC excels in simulation, and residual learning benefits simulation but does not transfer.
citing papers explorer
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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.
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Reset-Free Reinforcement Learning for Real-World Agile Driving: An Empirical Study
Empirical comparison shows a clear sim-to-real gap in reset-free RL for agile driving: TD-MPC2 outperforms the MPPI baseline in the real world while SAC excels in simulation, and residual learning benefits simulation but does not transfer.