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

Showing 826850 of 2605 papers

TitleStatusHype
Effectiveness Assessment of Cyber-Physical Systems0
Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles0
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic0
Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model0
Efficient Adversarial Input Generation via Neural Net Patching0
Efficient algorithms for electric vehicles' min-max routing problem0
Deep learning based infrared small object segmentation: Challenges and future directions0
Efficient falsification approach for autonomous vehicle validation using a parameter optimisation technique based on reinforcement learning0
Efficient Fully Distributed Federated Learning with Adaptive Local Links0
EfficientLPS: Efficient LiDAR Panoptic Segmentation0
Efficient Mining Cluster Selection for Blockchain-based Cellular V2X Communications0
Automatic Testing With Reusable Adversarial Agents0
Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving0
Efficient Perception, Planning, and Control Algorithm for Vision-Based Automated Vehicles0
Automatic driving lane change safety prediction model based on LSTM0
Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving0
Efficient statistical validation with edge cases to evaluate Highly Automated Vehicles0
A machine learning environment for evaluating autonomous driving software0
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting0
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout0
EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation0
EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps0
Electric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation0
Electric Vehicle E-hailing Fleet Dispatching and Charge Scheduling0
DeepLaser: Practical Fault Attack on Deep Neural Networks0
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Benchmark Results

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