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 751–775 of 2605 papers

TitleStatusHype
Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles—0
Annotation-Free Curb Detection Leveraging Altitude Difference Image—0
EEPNet: Efficient Edge Pixel-based Matching Network for Cross-Modal Dynamic Registration between LiDAR and Camera—0
Towards Event-Triggered NMPC for Efficient 6G Communications: Experimental Results and Open Problems—0
From One to the Power of Many: Invariance to Multi-LiDAR Perception from Single-Sensor Datasets—0
GSON: A Group-based Social Navigation Framework with Large Multimodal Model—0
Analysis of a platooned car-following model with different inter-platoon communication levels—0
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models—0
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles—0
Benchmarking Deep Learning Models for Object Detection on Edge Computing Devices—0
A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on an Autonomous Vehicle Traffic Sign Classification System—0
A Computer Vision Approach for Autonomous Cars to Drive Safe at Construction Zone—0
System-Level Performance Metrics Sensitivity of an Electrified Heavy-Duty Mobile Manipulator—0
Few-Shot Testing of Autonomous Vehicles with Scenario Similarity Learning—0
SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation—0
DAP-LED: Learning Degradation-Aware Priors with CLIP for Joint Low-light Enhancement and Deblurring—0
VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for Enhancing Autonomous Vehicle RobustnessCode0
Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering—0
Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning—0
Safety Verification and Navigation for Autonomous Vehicles based on Signal Temporal Logic Constraints—0
DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving—0
Motion Forecasting via Model-Based Risk Minimization—0
Risk-Aware Autonomous Driving with Linear Temporal Logic Specifications—0
A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets—0
Are Existing Road Design Guidelines Suitable for Autonomous Vehicles?—0
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Benchmark Results

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