About

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 )

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Subtasks

Datasets

Latest papers with code

Adversarial Example Detection for DNN Models: A Review

1 May 2021aldahdooh/detectors_review

Deep Learning (DL) has shown great success in many human-related tasks, which has led to its adoption in many computer vision based applications, such as security surveillance system, autonomous vehicles and healthcare.

AUTONOMOUS VEHICLES

4
01 May 2021

Maneuver-Aware Pooling for Vehicle Trajectory Prediction

29 Apr 2021m-hasan-n/pooling

Behavior of each of the surrounding vehicles is governed by the motion of its neighbor vehicles.

AUTONOMOUS VEHICLES TRAJECTORY PREDICTION

0
29 Apr 2021

Robust Sensor Fusion Algorithms Against VoiceCommand Attacks in Autonomous Vehicles

20 Apr 2021ITSEG-MQ/Sensor-Fusion-Against-VoiceCommand-Attacks

This technology enables drivers to use voice commands to control the vehicle and will be soon available in Advanced Driver Assistance Systems (ADAS).

AUTONOMOUS DRIVING MULTIMODAL DEEP LEARNING SENSOR FUSION

0
20 Apr 2021

Towards Unsupervised Fine-Tuning for Edge Video Analytics

14 Apr 2021HiEST/edgeautotuner

In this paper, we propose a method for improving accuracy of edge models without any extra compute cost by means of automatic model specialization.

AUTONOMOUS VEHICLES

0
14 Apr 2021

Raindrops on Windshield: Dataset and Lightweight Gradient-Based Detection Algorithm

11 Apr 2021EvoCargo/RaindropsOnWindshield

Apart from the dataset, we present a novel gradient-based algorithm for raindrop presence detection in a video sequence.

AUTONOMOUS VEHICLES DATA AUGMENTATION

2
11 Apr 2021

Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance

8 Apr 2021carranza96/waymo-detection-optimization

Finally, we design an ensemble model to combine the strengths of the different learning strategies.

AUTONOMOUS DRIVING OBJECT DETECTION

4
08 Apr 2021

SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud

29 Mar 2021Liz66666/SIENet

Specifically, we design the Spatial Information Enhancement (SIE) module to predict the spatial shapes of the foreground points within proposals, and extract the structure information to learn the representative features for further box refinement.

3D OBJECT DETECTION AUTONOMOUS VEHICLES REGION PROPOSAL

15
29 Mar 2021

TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events

29 Mar 2021SUTDCV/SUTD-TrafficQA

In this paper, we create a novel dataset, TrafficQA (Traffic Question Answering), which takes the form of video QA based on the collected 10, 080 in-the-wild videos and annotated 62, 535 QA pairs, for benchmarking the cognitive capability of causal inference and event understanding models in complex traffic scenarios.

AUTONOMOUS VEHICLES CAUSAL INFERENCE QUESTION ANSWERING VIDEO QUESTION ANSWERING VISUAL QUESTION ANSWERING

9
29 Mar 2021

Revisiting Self-Supervised Monocular Depth Estimation

23 Mar 2021Uehwan/rmd

Self-supervised learning of depth map prediction and motion estimation from monocular video sequences is of vital importance -- since it realizes a broad range of tasks in robotics and autonomous vehicles.

AUTONOMOUS VEHICLES MONOCULAR DEPTH ESTIMATION MOTION ESTIMATION SELF-SUPERVISED LEARNING

4
23 Mar 2021