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 411–420 of 2605 papers

TitleStatusHype
Aerial Imagery based LIDAR Localization for Autonomous Vehicles—0
5G enabled Mobile Edge Computing security for Autonomous Vehicles—0
LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios—0
A Reinforcement Learning-based Adaptive Control Model for Future Street Planning, An Algorithm and A Case Study—0
A Reinforcement Learning Approach for GNSS Spoofing Attack Detection of Autonomous Vehicles—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
A Recurrent YOLOv8-based framework for Event-Based Object Detection—0
Areas of Improvement for Autonomous Vehicles: A Machine Learning Analysis of Disengagement Reports—0
A Real-time Spatio-Temporal Trajectory Planner for Autonomous Vehicles with Semantic Graph Optimization—0
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Benchmark Results

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