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 1701–1725 of 2605 papers

TitleStatusHype
Symmetry Defense Against CNN Adversarial Perturbation Attacks—0
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation—0
Synergistic Redundancy: Towards Verifiable Safety for Autonomous Vehicles—0
Systematic Literature Review on Vehicular Collaborative Perception -- A Computer Vision Perspective—0
Systematic Review: Anomaly Detection in Connected and Autonomous Vehicles—0
Systematic Testing of Convolutional Neural Networks for Autonomous Driving—0
System-Level Performance Metrics Sensitivity of an Electrified Heavy-Duty Mobile Manipulator—0
Systems Engineering for Autonomous Vehicles; Supervising AI using Large Language Models (SSuperLLM)—0
TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors—0
TacoDepth: Towards Efficient Radar-Camera Depth Estimation with One-stage Fusion—0
Targetless 6DoF Calibration of LiDAR and 2D Scanning Radar Based on Cylindrical Occupancy—0
Task-Driven Implicit Representations for Automated Design of LiDAR Systems—0
Technical Report on Data Integration and Preparation—0
Temporal Consistency Checks to Detect LiDAR Spoofing Attacks on Autonomous Vehicle Perception—0
Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling—0
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness—0
Testing Large Language Models on Driving Theory Knowledge and Skills for Connected Autonomous Vehicles—0
Testing learning-enabled cyber-physical systems with Large-Language Models: A Formal Approach—0
Text to Blind Motion—0
The 2nd Place Solution from the 3D Semantic Segmentation Track in the 2024 Waymo Open Dataset Challenge—0
The ATLAS of Traffic Lights: A Reliable Perception Framework for Autonomous Driving—0
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks—0
The Benefits of Autonomous Vehicles for Community-Based Trip Sharing—0
The Components of Collaborative Joint Perception and Prediction -- A Conceptual Framework—0
The Development of Visualization Psychology Analysis Tools to Account for Trust—0
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Benchmark Results

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