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 826–850 of 2605 papers

TitleStatusHype
Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning—0
Efficient textual explanations for complex road and traffic scenarios based on semantic segmentation—0
Annotation-Free Curb Detection Leveraging Altitude Difference Image—0
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles—0
Efficient Perception, Planning, and Control Algorithm for Vision-Based Automated Vehicles—0
Building Prior Knowledge: A Markov Based Pedestrian Prediction Model Using Urban Environmental Data—0
Adver-City: Open-Source Multi-Modal Dataset for Collaborative Perception Under Adverse Weather Conditions—0
Building BROOK: A Multi-modal and Facial Video Database for Human-Vehicle Interaction Research—0
Efficient Mining Cluster Selection for Blockchain-based Cellular V2X Communications—0
EfficientLPS: Efficient LiDAR Panoptic Segmentation—0
Bridging the inference gap in Mutimodal Variational Autoencoders—0
An LSTM Network for Highway Trajectory Prediction—0
Efficient Fully Distributed Federated Learning with Adaptive Local Links—0
Efficient falsification approach for autonomous vehicle validation using a parameter optimisation technique based on reinforcement learning—0
Bridging the Gap between Optimal Trajectory Planning and Safety-Critical Control with Applications to Autonomous Vehicles—0
Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving—0
Efficient statistical validation with edge cases to evaluate Highly Automated Vehicles—0
Efficient algorithms for electric vehicles' min-max routing problem—0
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting—0
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout—0
EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation—0
EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps—0
Electric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation—0
Electric Vehicle E-hailing Fleet Dispatching and Charge Scheduling—0
Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics—0
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Benchmark Results

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