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 2526–2550 of 2605 papers

TitleStatusHype
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