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 191–200 of 2605 papers

TitleStatusHype
AI Generations: From AI 1.0 to AI 4.0—0
Safe platooning control of connected and autonomous vehicles on curved multi-lane roads—0
V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models—0
Mind the Gaps: Logical English, Prolog, and Multi-agent Systems for Autonomous Vehicles—0
Deep Reinforcement Learning-Based User Scheduling for Collaborative Perception—0
AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception—0
Poly-Autoregressive Prediction for Modeling Interactions—0
Predictive Planner for Autonomous Driving with Consistency Models—0
Vision-Language Models for Edge Networks: A Comprehensive Survey—0
Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning—0
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Benchmark Results

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