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 1051–1100 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
Can you see me now? Blind spot estimation for autonomous vehicles using scenario-based simulation with random reference sensors—0
SmartCooper: Vehicular Collaborative Perception with Adaptive Fusion and Judger Mechanism—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
SSL-Interactions: Pretext Tasks for Interactive Trajectory Prediction—0
Geo-locating Road Objects using Inverse Haversine Formula with NVIDIA Driveworks—0
Pedestrian Detection in Low-Light Conditions: A Comprehensive Survey—0
Hyper-STTN: Social Group-aware Spatial-Temporal Transformer Network for Human Trajectory Prediction with Hypergraph Reasoning—0
A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems—0
Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction—0
NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds—0
Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception—0
Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical StudyCode0
Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities—0
Experimental Validation of Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles—0
Flow-Guided Online Stereo Rectification for Wide Baseline Stereo—0
MSU-4S - The Michigan State University Four Seasons Dataset—0
CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving—0
Socially Compliant Control of Autonomous Vehicles with Application to Eco-Driving—0
Data Assimilation in Chaotic Systems Using Deep Reinforcement LearningCode0
Point Cloud in the Air—0
A Survey on Graph Neural Networks in Intelligent Transportation Systems—0
Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy—0
AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles—0
RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution—0
Risk of Cascading Collisions in Network of Vehicles with Delayed Communication—0
Attack Tree Analysis for Adversarial Evasion Attacks—0
Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning—0
In-Lab Implementation of DSRC PHY Layer—0
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Benchmark Results

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