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 1251–1275 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
Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks—0
PatchContrast: Self-Supervised Pre-training for 3D Object Detection—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
Evaluating Pedestrian Trajectory Prediction Methods with Respect to Autonomous Driving—0
Autonomous Vehicles as a Sensor: Simulating Data Collection Process—0
Leveraging the Edge and Cloud for V2X-Based Real-Time Object Detection in Autonomous Driving—0
An Empirical Analysis of Range for 3D Object Detection—0
An Approximate Dynamic Programming Approach to Vehicle Platooning Coordination in Networks—0
Vehicle Motion Forecasting using Prior Information and Semantic-assisted Occupancy Grid Maps—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
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Benchmark Results

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