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 1051–1075 of 2605 papers

TitleStatusHype
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications—0
SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation—0
Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets—0
Improved Generalizability of CNN Based Lane Detection in Challenging Weather Using Adaptive Preprocessing Parameter Tuning—0
Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning—0
Driving Everywhere with Large Language Model Policy Adaptation—0
Savvy: Trustworthy Autonomous Vehicles Architecture—0
V2VSSC: A 3D Semantic Scene Completion Benchmark for Perception with Vehicle to Vehicle Communication—0
AINS: Affordable Indoor Navigation Solution via Line Color Identification Using Mono-Camera for Autonomous Vehicles—0
Robust Data-EnablEd Predictive Leading Cruise Control via Reachability Analysis—0
A Discrete-time Dynamical Model for Optimal Dispatching and Rebalancing of Autonomous Mobility-on-Demand Systems—0
Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity—0
SmartCooper: Vehicular Collaborative Perception with Adaptive Fusion and Judger Mechanism—0
Can you see me now? Blind spot estimation for autonomous vehicles using scenario-based simulation with random reference sensors—0
Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate—0
A Survey on Integrated Sensing and Communication with Intelligent Metasurfaces: Trends, Challenges, and Opportunities—0
Overview of Sensing Attacks on Autonomous Vehicle Technologies and Impact on Traffic Flow—0
Driving Towards Inclusion: A Systematic Review of AI-powered Accessibility Enhancements for People with Disability in Autonomous Vehicles—0
Enhanced Multi-Target Tracking in Dynamic Environments: Distributed Flooding Control in the Random Finite Set Framework—0
A V2X-based Privacy Preserving Federated Measuring and Learning SystemCode0
FedRSU: Federated Learning for Scene Flow Estimation on Roadside UnitsCode0
Evaluating Roadside Perception for Autonomous Vehicles: Insights from Field Testing—0
ANNA: A Deep Learning Based Dataset in Heterogeneous Traffic for Autonomous VehiclesCode0
BadODD: Bangladeshi Autonomous Driving Object Detection Dataset—0
Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data—0
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Benchmark Results

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