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 2171–2180 of 2605 papers

TitleStatusHype
Efficient statistical validation with edge cases to evaluate Highly Automated Vehicles—0
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization—0
Multi-Feature View-Based Shallow Convolutional Neural Network for Road Segmentation—0
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change ScenariosCode1
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic NavigationCode1
Vehicle-Human Interactive Behaviors in Emergency: Data Extraction from Traffic Accident Videos—0
3D Point Cloud Processing and Learning for Autonomous Driving—0
Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS -- a collection of Technical Notes Part 1—0
Mixed Strategies for Robust Optimization of Unknown Objectives—0
Triangle-Net: Towards Robustness in Point Cloud LearningCode0
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Benchmark Results

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