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 2551–2575 of 2605 papers

TitleStatusHype
Effectiveness Assessment of Cyber-Physical Systems—0
Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles—0
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic—0
Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model—0
Efficient Adversarial Input Generation via Neural Net Patching—0
Efficient algorithms for electric vehicles' min-max routing problem—0
Efficient falsification approach for autonomous vehicle validation using a parameter optimisation technique based on reinforcement learning—0
Efficient Fully Distributed Federated Learning with Adaptive Local Links—0
EfficientLPS: Efficient LiDAR Panoptic Segmentation—0
Efficient Mining Cluster Selection for Blockchain-based Cellular V2X Communications—0
Efficient Perception, Planning, and Control Algorithm for Vision-Based Automated 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 textual explanations for complex road and traffic scenarios based on semantic segmentation—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
Elevated LiDAR Placement under Energy and Throughput Capacity Constraints—0
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery—0
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula—0
Emergence of Hebbian Dynamics in Regularized Non-Local Learners—0
Emerging AI Security Threats for Autonomous Cars -- Case Studies—0
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Benchmark Results

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