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 1031–1040 of 2605 papers

TitleStatusHype
A Unified Toll Lane Framework for Autonomous and High-Occupancy Vehicles in Interactive Mixed Autonomy—0
A Learning-based approach for bias elimination in low cost gyroscopes—0
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles—0
Augmenting End-to-End Steering Angle Prediction with CAN Bus Data—0
Data generation using simulation technology to improve perception mechanism of autonomous vehicles—0
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection—0
ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition—0
Adaptive Optimization of Autonomous Vehicle Computational Resources for Performance and Energy Improvement—0
ScenicNL: Generating Probabilistic Scenario Programs from Natural Language—0
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles—0
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Benchmark Results

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