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 671–680 of 2605 papers

TitleStatusHype
Object Tracking in a 360^o View: A Novel Perspective on Bridging the Gap to Biomedical Advancements—0
Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections—0
Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model—0
Machine Learning for Spectrum Sharing: A Survey—0
GMS-VINS:Multi-category Dynamic Objects Semantic Segmentation for Enhanced Visual-Inertial Odometry Using a Promptable Foundation Model—0
Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning—0
Explainable deep learning improves human mental models of self-driving cars—0
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling—0
DECODE: Domain-aware Continual Domain Expansion for Motion PredictionCode0
CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening—0
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Benchmark Results

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