PLANNINGCURRENT2026-05-11

HiDrive: A Closed-Loop Benchmark for High-Level Autonomous Driving

Zhongyu Xia, Guanyu Zhu, Guo Tang, Wenhao Chen, Yongtao Wang

HiDrive is a new closed-loop Simulation & Sim-to-RealBenchmarkA standard test used to compare methods fairly. that tests autonomous driving systems on rare but critical scenarios, legal Movement, Mechanics & Robot BodyComplianceThe robot’s ability to yield a little during contact instead of staying rigid., and ethical reasoning—moving beyond saturation of existing benchmarks by evaluating long-tail edge cases and advanced decision-making rather than just Control & PlanningCollision avoidancePreventing the robot from hitting obstacles or itself.. For developers building end-to-end driving models, this provides a harder testbed with realistic physics and comprehensive metrics beyond basic safety.

THE PROBLEM

This paper focuses on Control & PlanningPlanningFiguring out what the robot should do before or during movement.. HiDrive is a new closed-loop Simulation & Sim-to-RealBenchmarkA standard test used to compare methods fairly. that tests autonomous driving systems on rare but critical scenarios, legal Movement, Mechanics & Robot BodyComplianceThe robot’s ability to yield a little during contact instead of staying rigid., and ethical reasoning—moving beyond saturation of existing benchmarks by evaluating long-tail edge cases and advanced decision-making rather than just Control & PlanningCollision avoidancePreventing the robot from hitting obstacles or itself.. For developers building end-to-end driving models, this provides a harder testbed with realistic physics and comprehensive metrics beyond basic safety. Read the paper by tracking the Core ConceptsTaskThe job the robot is supposed to complete, such as pick-and-place, navigation, or drawer opening. definition, the Core ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. or data assumptions, and the evidence that supports the claimed improvement.

HOW IT WORKS

1

Task framing

The paper frames the work as Control & PlanningPlanningFiguring out what the robot should do before or during movement.. Start here because it defines what success means and which assumptions the rest of the method inherits.

2

Core method

HiDrive is a new closed-loop Simulation & Sim-to-RealBenchmarkA standard test used to compare methods fairly. that tests autonomous driving systems on rare but critical scenarios, legal Movement, Mechanics & Robot BodyComplianceThe robot’s ability to yield a little during contact instead of staying rigid., and ethical reasoning—moving beyond saturation of existing benchmarks by evaluating long-tail edge cases and advanced decision-making rather than just Control & PlanningCollision avoidancePreventing the robot from hitting obstacles or itself.. For developers building end-to-end driving models, this provides a harder testbed with realistic physics and comprehensive metrics beyond basic safety. When reading the method section, identify the inputs, the learned or engineered representation, and the Core ConceptsActionA command the robot sends to its motors, controller, or low-level system. or prediction produced by the system.

3

Data and supervision

For robotics work, the data story is part of the method: check whether the system depends on Imitation & Reinforcement LearningTeleoperation (teleop)A human remotely controlling the robot, often to collect demonstrations., Simulation & Sim-to-RealSimulationA virtual environment where robots can be trained or tested., internet video, human labels, or Core ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. rollouts.

4

Evaluation evidence

The paper should be judged through its Simulation & Sim-to-RealEvaluationMeasuring how well a robot system performs. protocol: what data is used, what Core ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. or simulator is tested, and which Evaluation & ResearchBaselineA reference method used for comparison. comparisons support the claim. Look for the gap between the headline result and the Simulation & Sim-to-RealDeploymentPutting the trained system on a real robot. setting you would actually care about.

KEY RESULTS

Main contributionConceptual contribution

HiDrive is a new closed-loop Simulation & Sim-to-RealBenchmarkA standard test used to compare methods fairly. that tests autonomous driving systems on rare but critical scenarios, legal Movement, Mechanics & Robot BodyComplianceThe robot’s ability to yield a little during contact instead of staying rigid., and ethical reasoning—moving beyond saturation of existing benchmarks by evaluating long-tail edge cases and advanced decision-making rather than just Control & PlanningCollision avoidancePreventing the robot from hitting obstacles or itself.. For developers building end-to-end driving models, this provides a harder testbed with realistic physics and comprehensive metrics beyond basic safety.

WHY DEVELOPERS SHOULD CARE

HiDrive is a new closed-loop Simulation & Sim-to-RealBenchmarkA standard test used to compare methods fairly. that tests autonomous driving systems on rare but critical scenarios, legal Movement, Mechanics & Robot BodyComplianceThe robot’s ability to yield a little during contact instead of staying rigid., and ethical reasoning—moving beyond saturation of existing benchmarks by evaluating long-tail edge cases and advanced decision-making rather than just Control & PlanningCollision avoidancePreventing the robot from hitting obstacles or itself.. For developers building end-to-end driving models, this provides a harder testbed with realistic physics and comprehensive metrics beyond basic safety.

LIMITATIONS

The main limitation to check is whether the claimed behavior holds outside the paper's reported setup. That means testing across different Core ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. embodiments, scenes, objects, and data distributions.

WHAT COMES NEXT

The practical next step is independent reproduction with clear baselines, ablations, and stress tests. For a developer, the useful follow-up is to map the paper's Control & PlanningPlanningFiguring out what the robot should do before or during movement. assumptions onto a concrete Core ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. stack, then test the smallest version of the method that could run end to end.

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