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 1141–1150 of 2605 papers

TitleStatusHype
Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety (Expanded Version)—0
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?—0
Addressing Data Annotation Challenges in Multiple Sensors: A Solution for Scania Collected Datasets—0
Accurate Trajectory Prediction for Autonomous Vehicles—0
Detection of Network and Sensor Cyber-Attacks in Platoons of Cooperative Autonomous Vehicles: a Sliding-Mode Observer Approach—0
Autonomous Vehicles for Ride-Hailing—0
Detection of Cyber-Attacks in Collaborative Intersection Control—0
Detecting Unsigned Physical Road Incidents from Driver-View Images—0
Autonomous Vehicles: Evolution of Artificial Intelligence and Learning Algorithms—0
Active Learning of Driving Scenario Trajectories—0
Show:102550
← PrevPage 115 of 261Next →

Benchmark Results

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