Advances in vehicle sensing and communication technologies are enabling new
opportunities for intelligent driver assistance systems that enhance road safety
and performance. This paper provides a comprehensive review of recent research
on two complementary areas: haptic/tactile interfaces for conveying road terrain
and hazard information to drivers, and shared control frameworks that employ
assistive automation to supplement driver inputs. Various haptic feedback
techniques for generating realistic road feel through steering wheel torque
overlays, pedal interventions, and alternative interface modalities are
examined. Control assistance approaches integrating environmental perception to
provide steering, braking, and collision avoidance support through blended
human–machine control are also analyzed. The paper scrutinizes methods for road
sensing using cameras, LiDAR, and radar to classify terrain for adapting system
response. Evaluation practices across this domain are critically assessed,
including subjective questionnaires, quantitative performance metrics,
simulation testbeds, and limited on-road studies. Key findings on the
effectiveness of haptic feedback in improving situation awareness, reducing
cognitive load, and preventing accidents are synthesized. The review also
highlights the potential of shared control frameworks to maintain vehicle
stability and prevent loss of control during critical events. While simulations
demonstrate promising initial capabilities, gaps are identified regarding lack
of extensive real-world validation across diverse conditions. The paper provides
insights into priority areas for further research, such as refining terrain
classification through advanced sensing, seamless human–automation cooperation,
and understanding long-term effects of assistive technology usage. Overall, the
review underscores exciting opportunities for haptics and assistive automation
to substantially enhance road safety while qualitatively improving the driving
experience.