| AV | Autonomous Vehicle. |
| DL | Deep Learning. |
| KITTI | Karlsruhe Institute of Technology and Toyota Technological Institute |
| PIE | Pedestrian Intention Estimation. |
| BDD100K | Berkeley DeepDrive. |
| ADAS | Advanced Driver Assistance System. |
| HDAI | Hazard Detection System. |
| DARPA | Defence Advanced Research Projects Agency. |
| SAE | Society of Automotive Engineers. |
| V2V | Vehicle to Vehicle. |
| V2I | Vehicle to Infrastructure. |
| SLAM | Simultaneous Localisation and Mapping. |
| CDD | Charge-coupled Devices. |
| CMOS | Complementary Metal-oxide Semiconductors. |
| LIDAR | Light Detection and Ranging. |
| RADAR | Radio Detection and Ranging. |
| IMU | Inertial Measurement System. |
| GNSS | Global Navigation Satellite Systems. |
| ML | Machine Learning. |
| CNN | Convolutional Neural Network. |
| PID | Proportional Integral Derivative. |
| SIFT | Scale Invariant Feature Transform. |
| HOG | Histogram of Oriented Gradient. |
| EOH | Edge-Orientation-Histograms. |
| ISM | Implicit Shape Model. |
| SSC | Self-similarity Channels. |
| SURF | Speeded Up Robust Features. |
| MSER | Maximally Stable Extremal Regions. |
| ICF | Integral Channels Features. |
| ACF | Aggregated Channel Features. |
| SVM | Support-Vector-Machine. |
| AdaBoost | Adaptive Boosting. |
| ANN | Artificial Neural Network. |
| BBF | Best-Bin-First. |
| HT | Hough Transform. |
| ILSVRC | ImageNet Large-Scale Visual Recognition Challenge. |
| R-CNN | Region Convolutional Neural Network. |
| SPP-Net | Spatial Pyramid Pooling Network. |
| RoI | Region of Interest. |
| RPN | Region Proposal Network. |
| FPS | Frame Per Second. |
| FPN | Feature Pyramid Network. |
| YOLO | You Look Only Once. |
| SSD | Single Shot Multi-box Detection. |
| LIEM | Local Information Extraction Model |
| GIEM | Global Information Extraction Model |
| DNN | Deep Neural Network. |
| MSF | Multi-scale Features. |
| EMA | Exponential Moving Average. |
| IoU | Intersection Over Union. |
| ITS | Intelligent Transportation Systems. |
| LBP | Local Binary Patterns. |
| PCA | Principal Component Analysis. |
| 2D-DBN | 2D Deep Belief Network. |
| BFEN | Backward Feature Enhancement Network. |
| SLPN | Spatial Layout Preserving Network. |
| FC | Fully Connected Layer. |
| RRC | Recurrent Rolling Convolution. |
| mAP | mean Average Precision. |
| MS-CNN | Multi-scale CNN. |
| SDP + CRC | Scale Dependent Pooling and Cascade Rejection Classifiers. |
| DeepMANTA | Deep Many-Tasks. |
| monoFET | monocular Feature Enhancement Networks |
| DORN | Deep Ordinal Regression Network. |
| SS3D | Single Stage Monocular 3D. |
| TP | True Positive. |
| DR | Detection Rate. |
| AP | Average Precision. |
| FP | False Positive. |
| RE | Recognition Error. |
| ITVD | Imporving Tiny Vehicle Detection. |
| PAFs | Part Affinity Fields. |
| DPM | Deformable Part Model. |
| MR | Miss Rate. |
| RNN | Recurrent Neural Network. |
| LSTM | Long Short Term Memory. |
| SINet | Scale-insensitive Convolutional Neural Network. |
| LSVH | Large Scale Variance Highway. |
| RV-CNN | Region of Interest Voting CNN. |
| UTS | Urban Traffic Surveillance. |
| FVPN | Fast Vehicle Proposal Network. |
| ALN | Attributes Learning Network. |
| DCT | Discrete Cosine Transform. |
| CSS | Self-similarity on colour channels. |
| NNF | Non-Neighbouring Features. |
| SIDF | Sine-Inner Difference Features. |
| SSF | Symmetrical Similarity Features. |
| FSSS | Feature Selected Self-Similarity. |
| SDN | Switchable Deep Network. |
| BF | Boosted Forest. |
| SNF | Soft-rejection Network Fusion. |
| SDS | Simultaneous Detection and Segmentation. |
| MRF | Markov Random Field. |
| AG | Accuracy Gain. |