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 1251–1300 of 2605 papers

TitleStatusHype
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement LearningCode0
Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs—0
Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing—0
Real-time Monocular Depth Estimation on Embedded Systems—0
Self-Supervised Online Camera Calibration for Automated Driving and Parking Applications—0
InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping—0
PatchContrast: Self-Supervised Pre-training for 3D Object Detection—0
Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks—0
Polar Collision Grids: Effective Interaction Modelling for Pedestrian Trajectory Prediction in Shared Space Using Collision Checks—0
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction—0
Fusion-GRU: A Deep Learning Model for Future Bounding Box Prediction of Traffic Agents in Risky Driving Videos—0
Defensive Perception: Estimation and Monitoring of Neural Network Performance under Deployment—0
Hardware Accelerators in Autonomous Driving—0
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks—0
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving—0
Leveraging the Edge and Cloud for V2X-Based Real-Time Object Detection in Autonomous Driving—0
Evaluating Pedestrian Trajectory Prediction Methods with Respect to Autonomous Driving—0
Autonomous Vehicles as a Sensor: Simulating Data Collection Process—0
Vehicle Motion Forecasting using Prior Information and Semantic-assisted Occupancy Grid Maps—0
An Empirical Analysis of Range for 3D Object Detection—0
An Approximate Dynamic Programming Approach to Vehicle Platooning Coordination in Networks—0
Analytical Safety Bounds for Trajectory Following Controllers in Autonomous Vehicles—0
Robust Self-Supervised Extrinsic Self-Calibration—0
Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control—0
Detecting Out-of-distribution Objects Using Neuron Activation PatternsCode0
On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars—0
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach—0
Redesigning Large-Scale Multimodal Transit Networks with Shared Autonomous Mobility Services—0
A Comparative Analysis of Machine Learning Methods for Lane Change Intention Recognition Using Vehicle Trajectory Data—0
Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving—0
Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems—0
Traffic Flow Simulation for Autonomous Driving—0
Adversarial Feature Map Pruning for BackdoorCode0
Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes—0
EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps—0
Adversarial Attacks on Traffic Sign Recognition: A Survey—0
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning—0
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions—0
Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle SafetyCode0
Estimating label quality and errors in semantic segmentation data via any model—0
Autonomy 2.0: The Quest for Economies of Scale—0
Hypercongestion, autonomous vehicle, and urban spatial structure—0
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation—0
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation—0
UnLoc: A Universal Localization Method for Autonomous Vehicles using LiDAR, Radar and/or Camera Input—0
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors—0
Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization—0
Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithmsCode0
A Survey on Datasets for Decision-making of Autonomous Vehicle—0
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning—0
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Benchmark Results

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