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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 721–730 of 2605 papers

TitleStatusHype
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction—0
A Reinforcement Learning-based Adaptive Control Model for Future Street Planning, An Algorithm and A Case Study—0
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles—0
Closing the gap towards end-to-end autonomous vehicle system—0
A Reinforcement Learning Approach for GNSS Spoofing Attack Detection of Autonomous Vehicles—0
CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning—0
Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving—0
Are Existing Road Design Guidelines Suitable for Autonomous Vehicles?—0
AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception—0
Classification of Safety Driver Attention During Autonomous Vehicle Operation—0
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Benchmark Results

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