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

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Showing 2501–2550 of 2605 papers

TitleStatusHype
Robust Glare Detection: Review, Analysis, and Dataset ReleaseCode0
The Impact of Partial Occlusion on Pedestrian DetectabilityCode0
ARC: Adversarially Robust Control Policies for Autonomous VehiclesCode0
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AICode0
Robust Lane Detection from Continuous Driving Scenes Using Deep Neural NetworksCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Benchmarking 6DOF Outdoor Visual Localization in Changing ConditionsCode0
Performance Evaluation of Real-Time Object Detection for Electric ScootersCode0
Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During DeploymentCode0
RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging EnvironmentsCode0
Intention Recognition of Pedestrians and Cyclists by 2D Pose EstimationCode0
Detecting Adversarial Attacks on Neural Network Policies with Visual ForesightCode0
Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions]Code0
Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous VehiclesCode0
DepthNet: Real-Time LiDAR Point Cloud Depth Completion for Autonomous VehiclesCode0
In-Place Zero-Space Memory Protection for CNNCode0
Fast Deep Stereo with 2D Convolutional Processing of Cost SignaturesCode0
CNN-based Lidar Point Cloud De-Noising in Adverse WeatherCode0
Rogue Signs: Deceiving Traffic Sign Recognition with Malicious Ads and LogosCode0
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving CarsCode0
A Safe Preference Learning Approach for Personalization with Applications to Autonomous VehiclesCode0
The Reasonable Crowd: Towards evidence-based and interpretable models of driving behaviorCode0
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement LearningCode0
Depth- and Semantics-aware Multi-modal Domain Translation: Generating 3D Panoramic Color Images from LiDAR Point CloudsCode0
RRPN: Radar Region Proposal Network for Object Detection in Autonomous VehiclesCode0
Extending Structural Causal Models for Autonomous Vehicles to Simplify Temporal System Construction & Enable Dynamic Interactions Between AgentsCode0
Demystifying the Adversarial Robustness of Random Transformation DefensesCode0
Training Adversarial Agents to Exploit Weaknesses in Deep Control PoliciesCode0
RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban ScenesCode0
3D Traffic Simulation for Autonomous Vehicles in Unity and PythonCode0
Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attentionCode0
PLM-Net: Perception Latency Mitigation Network for Vision-Based Lateral Control of Autonomous VehiclesCode0
Snowy Scenes,Clear Detections: A Robust Model for Traffic Light Detection in Adverse Weather ConditionsCode0
ANNA: A Deep Learning Based Dataset in Heterogeneous Traffic for Autonomous VehiclesCode0
Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind SpotsCode0
ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under UncertaintiesCode0
Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic ScenariosCode0
Vulnerability Analysis of Time Synchronization in Automotive EthernetCode0
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement LearningCode0
Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation LearningCode0
InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information TheoryCode0
Bayesian Learning-Based Adaptive Control for Safety Critical SystemsCode0
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous CarsCode0
DECODE: Domain-aware Continual Domain Expansion for Motion PredictionCode0
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) DecisionsCode0
Data selection method for assessment of autonomous vehiclesCode0
Inferring Distributions Over Depth from a Single ImageCode0
Solution Concepts in Hierarchical Games under Bounded Rationality with Applications to Autonomous DrivingCode0
Solving reward-collecting problems with UAVs: a comparison of online optimization and Q-learningCode0
Increasing performance of electric vehicles in ride-hailing services using deep reinforcement learningCode0
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Benchmark Results

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