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 731–740 of 2605 papers

TitleStatusHype
Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective—0
A Recurrent YOLOv8-based framework for Event-Based Object Detection—0
CityX: Controllable Procedural Content Generation for Unbounded 3D Cities—0
Areas of Improvement for Autonomous Vehicles: A Machine Learning Analysis of Disengagement Reports—0
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving—0
A Real-time Spatio-Temporal Trajectory Planner for Autonomous Vehicles with Semantic Graph Optimization—0
ChipNet: Real-Time LiDAR Processing for Drivable Region Segmentation on an FPGA—0
CheckINN: Wide Range Neural Network Verification in Imandra (Extended)—0
A Real-Time Optimal Eco-driving for Autonomous Vehicles Crossing Multiple Signalized Intersections—0
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems—0
Show:102550
← PrevPage 74 of 261Next →

Benchmark Results

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