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

Showing 13011350 of 2605 papers

TitleStatusHype
Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection0
Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain0
Adversarial Attacks on Traffic Sign Recognition: A Survey0
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios0
Adversarial Examples: Opportunities and Challenges0
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems0
Adversarial Patterns: Building Robust Android Malware Classifiers0
Adversarial Plannning0
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles0
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving0
Adversary ML Resilience in Autonomous Driving Through Human Centered Perception Mechanisms0
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems0
AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception0
Aerial Imagery based LIDAR Localization for Autonomous Vehicles0
A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field0
Affine Disentangled GAN for Interpretable and Robust AV Perception0
Affordance Learning In Direct Perception for Autonomous Driving0
A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving0
A Framework for Estimating Long Term Driver Behavior0
A Framework for Probabilistic Generic Traffic Scene Prediction0
A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized0
A Game-Theoretic Model of Human Driving and Application to Discretionary Lane-Changes0
Age and gender bias in pedestrian detection algorithms0
A General Framework to Forecast the Adoption of Novel Products: A Case of Autonomous Vehicles0
A Generic Framework for Clustering Vehicle Motion Trajectories0
AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging0
AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents0
Aggregate Modeling and Equilibrium Analysis of the Crowdsourcing Market for Autonomous Vehicles0
A hierarchical adaptive nonlinear model predictive control approach for maximizing tire force usage in autonomous vehicles0
A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Prediction0
A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation0
A Highway Toll Lane Framework that Unites Autonomous Vehicles and High-occupancy Vehicles0
A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles0
A Hybrid Learner for Simultaneous Localization and Mapping0
A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on an Autonomous Vehicle Traffic Sign Classification System0
A Hybrid Queuing Model for Coordinated Vehicle Platooning on Mixed-Autonomy Highways: Training and Validation0
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering0
AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems0
AIBA: An AI Model for Behavior Arbitration in Autonomous Driving0
AI Generations: From AI 1.0 to AI 4.00
AINS: Affordable Indoor Navigation Solution via Line Color Identification Using Mono-Camera for Autonomous Vehicles0
AI-Powered Anomaly Detection with Blockchain for Real-Time Security and Reliability in Autonomous Vehicles0
AI Safety vs. AI Security: Demystifying the Distinction and Boundaries0
A Lane Merge Coordination Model for a V2X Scenario0
ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition0
A Learning-based approach for bias elimination in low cost gyroscopes0
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing0
Algorithmic Approaches to Enhance Safety in Autonomous Vehicles: Minimizing Lane Changes and Merging0
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities0
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective0
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Benchmark Results

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