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 2576–2600 of 2605 papers

TitleStatusHype
Empowering Autonomous Driving with Large Language Models: A Safety Perspective—0
Enabling High-Precision 5G mmWave-Based Positioning for Autonomous Vehicles in Dense Urban Environments—0
Encoding Motion Primitives for Autonomous Vehicles using Virtual Velocity Constraints and Neural Network Scheduling—0
End-to-End 3D Object Detection using LiDAR Point Cloud—0
End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies—0
End-to-end Evaluation of Practical Video Analytics Systems for Face Detection and Recognition—0
End-to-End Lidar-Camera Self-Calibration for Autonomous Vehicles—0
Predictive Planner for Autonomous Driving with Consistency Models—0
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning—0
End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning—0
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering—0
Energy-Aware Predictive Motion Planning for Autonomous Vehicles Using a Hybrid Zonotope Constraint Representation—0
Energy-Based Models for Cross-Modal Localization using Convolutional Transformers—0
Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation—0
ENet-21: An Optimized light CNN Structure for Lane Detection—0
EnforceNet: Monocular Camera Localization in Large Scale Indoor Sparse LiDAR Point Cloud—0
Enhanced Cooperative Perception for Autonomous Vehicles Using Imperfect Communication—0
Enhanced Emotion Enabled Cognitive Agent Based Rear End Collision Avoidance Controller for Autonomous Vehicles—0
Enhanced Multi-Target Tracking in Dynamic Environments: Distributed Flooding Control in the Random Finite Set Framework—0
Enhanced Normalized Mutual Information for Localization in Noisy Environments—0
Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning—0
Enhancing 3D Object Detection in Autonomous Vehicles Based on Synthetic Virtual Environment Analysis—0
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications—0
Enhancing autonomous vehicle safety in rain: a data-centric approach for clear vision—0
Enhancing High-Speed Cruising Performance of Autonomous Vehicles through Integrated Deep Reinforcement Learning Framework—0
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Benchmark Results

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