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 1261–1270 of 2605 papers

TitleStatusHype
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles—0
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
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
Augmenting End-to-End Steering Angle Prediction with CAN Bus Data—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
A Case Study of Image Enhancement Algorithms' Effectiveness of Improving Neural Networks' Performance on Adverse Images—0
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Benchmark Results

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