SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

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Showing 871–880 of 2605 papers

TitleStatusHype
Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks—0
Spatio-temporal cooperative control Method of Highway Ramp Merge Based on Vehicle-road Coordination—0
Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors—0
Dynamically Modulating Visual Place Recognition Sequence Length For Minimum Acceptable Performance Scenarios—0
Acceleration method for generating perception failure scenarios based on editing Markov process—0
Deep Reinforcement Learning for Adverse Garage Scenario Generation—0
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators—0
Cooperative Advisory Residual Policies for Congestion Mitigation—0
A Rule-Based Behaviour Planner for Autonomous Driving—0
Real-time Structure Flow—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified